---
_id: '14901'
abstract:
- lang: eng
text: Global services like navigation, communication, and Earth observation have
increased dramatically in the 21st century due to advances in outer space industries.
But as orbits become increasingly crowded with both satellites and inevitable
space debris pollution, continued operations become endangered by the heightened
risks of debris collisions in orbit. Kessler Syndrome is the term for when a critical
threshold of orbiting debris triggers a runaway positive feedback loop of debris
collisions, creating debris congestion that can render orbits unusable. As this
potential tipping point becomes more widely recognized, there have been renewed
calls for debris mitigation and removal. Here, we combine complex systems and
social-ecological systems approaches to study how these efforts may affect space
debris accumulation and the likelihood of reaching Kessler Syndrome. Specifically,
we model how debris levels are affected by future launch rates, cleanup activities,
and collisions between extant debris. We contextualize and interpret our dynamic
model within a discussion of existing space debris governance and other social,
economic, and geopolitical factors that may influence effective collective management
of the orbital commons. In line with previous studies, our model finds that debris
congestion may be reached in less than 200 years, though a holistic management
strategy combining removal and mitigation actions can avoid such outcomes while
continuing space activities. Moreover, although active debris removal may be particularly
effective, the current lack of market and governance support may impede its implementation.
Research into these critical dynamics and the multi-faceted variables that influence
debris outcomes can support policymakers in curating impactful governance strategies
and realistic transition pathways to sustaining debris-free orbits. Overall, our
study is useful for communicating about space debris sustainability in policy
and education settings by providing an exploration of policy portfolio options
supported by a simple and clear social-ecological modeling approach.
acknowledgement: The authors would like to thank the special issue co-editors, Marco
Janssen and Xiao-Shan Yap, and the anonymous reviewers for their comments that helped
improve the manuscript. The paper also benefited from suggestions by other author
participants in this special issue. We would also like to thank the 2022 Santa Fe
Institute Complex Systems Summer School for providing space to initiate this study.
article_processing_charge: Yes
article_type: original
author:
- first_name: Keiko
full_name: Nomura, Keiko
last_name: Nomura
- first_name: Simon
full_name: Rella, Simon
id: B4765ACA-AA38-11E9-AC9A-0930E6697425
last_name: Rella
- first_name: Haily
full_name: Merritt, Haily
last_name: Merritt
- first_name: Mathieu
full_name: Baltussen, Mathieu
last_name: Baltussen
- first_name: Darcy
full_name: Bird, Darcy
last_name: Bird
- first_name: Annika
full_name: Tjuka, Annika
last_name: Tjuka
- first_name: Dan
full_name: Falk, Dan
last_name: Falk
citation:
ama: Nomura K, Rella S, Merritt H, et al. Tipping points of space debris in low
earth orbit. International Journal of the Commons. 2024;18(1). doi:10.5334/ijc.1275
apa: Nomura, K., Rella, S., Merritt, H., Baltussen, M., Bird, D., Tjuka, A., &
Falk, D. (2024). Tipping points of space debris in low earth orbit. International
Journal of the Commons. Ubiquity Press. https://doi.org/10.5334/ijc.1275
chicago: Nomura, Keiko, Simon Rella, Haily Merritt, Mathieu Baltussen, Darcy Bird,
Annika Tjuka, and Dan Falk. “Tipping Points of Space Debris in Low Earth Orbit.”
International Journal of the Commons. Ubiquity Press, 2024. https://doi.org/10.5334/ijc.1275.
ieee: K. Nomura et al., “Tipping points of space debris in low earth orbit,”
International Journal of the Commons, vol. 18, no. 1. Ubiquity Press, 2024.
ista: Nomura K, Rella S, Merritt H, Baltussen M, Bird D, Tjuka A, Falk D. 2024.
Tipping points of space debris in low earth orbit. International Journal of the
Commons. 18(1).
mla: Nomura, Keiko, et al. “Tipping Points of Space Debris in Low Earth Orbit.”
International Journal of the Commons, vol. 18, no. 1, Ubiquity Press, 2024,
doi:10.5334/ijc.1275.
short: K. Nomura, S. Rella, H. Merritt, M. Baltussen, D. Bird, A. Tjuka, D. Falk,
International Journal of the Commons 18 (2024).
date_created: 2024-01-30T11:58:02Z
date_published: 2024-01-11T00:00:00Z
date_updated: 2024-02-05T10:10:27Z
day: '11'
ddc:
- '550'
department:
- _id: GradSch
- _id: GaTk
doi: 10.5334/ijc.1275
file:
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content_type: application/pdf
creator: dernst
date_created: 2024-02-05T10:06:35Z
date_updated: 2024-02-05T10:06:35Z
file_id: '14939'
file_name: 2023_IntJourCommons_Nomura.pdf
file_size: 1305786
relation: main_file
success: 1
file_date_updated: 2024-02-05T10:06:35Z
has_accepted_license: '1'
intvolume: ' 18'
issue: '1'
keyword:
- Sociology and Political Science
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: International Journal of the Commons
publication_identifier:
issn:
- 1875-0281
publication_status: published
publisher: Ubiquity Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Tipping points of space debris in low earth orbit
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 18
year: '2024'
...
---
_id: '15020'
abstract:
- lang: eng
text: "This thesis consists of four distinct pieces of work within theoretical biology,
with two themes in common: the concept of optimization in biological systems,
and the use of information-theoretic tools to quantify biological stochasticity
and statistical uncertainty.\r\nChapter 2 develops a statistical framework for
studying biological systems which we believe to be optimized for a particular
utility function, such as retinal neurons conveying information about visual stimuli.
We formalize such beliefs as maximum-entropy Bayesian priors, constrained by the
expected utility. We explore how such priors aid inference of system parameters
with limited data and enable optimality hypothesis testing: is the utility higher
than by chance?\r\nChapter 3 examines the ultimate biological optimization process:
evolution by natural selection. As some individuals survive and reproduce more
successfully than others, populations evolve towards fitter genotypes and phenotypes.
We formalize this as accumulation of genetic information, and use population genetics
theory to study how much such information can be accumulated per generation and
maintained in the face of random mutation and genetic drift. We identify the population
size and fitness variance as the key quantities that control information accumulation
and maintenance.\r\nChapter 4 reuses the concept of genetic information from Chapter
3, but from a different perspective: we ask how much genetic information organisms
actually need, in particular in the context of gene regulation. For example, how
much information is needed to bind transcription factors at correct locations
within the genome? Population genetics provides us with a refined answer: with
an increasing population size, populations achieve higher fitness by maintaining
more genetic information. Moreover, regulatory parameters experience selection
pressure to optimize the fitness-information trade-off, i.e. minimize the information
needed for a given fitness. This provides an evolutionary derivation of the optimization
priors introduced in Chapter 2.\r\nChapter 5 proves an upper bound on mutual information
between a signal and a communication channel output (such as neural activity).
Mutual information is an important utility measure for biological systems, but
its practical use can be difficult due to the large dimensionality of many biological
channels. Sometimes, a lower bound on mutual information is computed by replacing
the high-dimensional channel outputs with decodes (signal estimates). Our result
provides a corresponding upper bound, provided that the decodes are the maximum
posterior estimates of the signal."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
citation:
ama: Hledik M. Genetic information and biological optimization. 2024. doi:10.15479/at:ista:15020
apa: Hledik, M. (2024). Genetic information and biological optimization.
Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15020
chicago: Hledik, Michal. “Genetic Information and Biological Optimization.” Institute
of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15020.
ieee: M. Hledik, “Genetic information and biological optimization,” Institute of
Science and Technology Austria, 2024.
ista: Hledik M. 2024. Genetic information and biological optimization. Institute
of Science and Technology Austria.
mla: Hledik, Michal. Genetic Information and Biological Optimization. Institute
of Science and Technology Austria, 2024, doi:10.15479/at:ista:15020.
short: M. Hledik, Genetic Information and Biological Optimization, Institute of
Science and Technology Austria, 2024.
date_created: 2024-02-23T14:02:04Z
date_published: 2024-02-23T00:00:00Z
date_updated: 2024-03-06T14:22:52Z
day: '23'
ddc:
- '576'
- '519'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
- _id: GaTk
doi: 10.15479/at:ista:15020
ec_funded: 1
file:
- access_level: open_access
checksum: b2d3da47c98d481577a4baf68944fe41
content_type: application/pdf
creator: mhledik
date_created: 2024-02-23T13:50:53Z
date_updated: 2024-02-23T13:50:53Z
file_id: '15021'
file_name: hledik thesis pdfa 2b.pdf
file_size: 7102089
relation: main_file
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content_type: application/zip
creator: mhledik
date_created: 2024-02-23T13:50:54Z
date_updated: 2024-02-23T14:20:16Z
file_id: '15022'
file_name: hledik thesis source.zip
file_size: 14014790
relation: source_file
file_date_updated: 2024-02-23T14:20:16Z
has_accepted_license: '1'
keyword:
- Theoretical biology
- Optimality
- Evolution
- Information
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '158'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 2665AAFE-B435-11E9-9278-68D0E5697425
grant_number: RGP0034/2018
name: Can evolution minimize spurious signaling crosstalk to reach optimal performance?
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication_identifier:
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7553'
relation: part_of_dissertation
status: public
- id: '12081'
relation: part_of_dissertation
status: public
- id: '7606'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
title: Genetic information and biological optimization
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
_id: '13127'
abstract:
- lang: eng
text: Cooperative disease defense emerges as group-level collective behavior, yet
how group members make the underlying individual decisions is poorly understood.
Using garden ants and fungal pathogens as an experimental model, we derive the
rules governing individual ant grooming choices and show how they produce colony-level
hygiene. Time-resolved behavioral analysis, pathogen quantification, and probabilistic
modeling reveal that ants increase grooming and preferentially target highly-infectious
individuals when perceiving high pathogen load, but transiently suppress grooming
after having been groomed by nestmates. Ants thus react to both, the infectivity
of others and the social feedback they receive on their own contagiousness. While
inferred solely from momentary ant decisions, these behavioral rules quantitatively
predict hour-long experimental dynamics, and synergistically combine into efficient
colony-wide pathogen removal. Our analyses show that noisy individual decisions
based on only local, incomplete, yet dynamically-updated information on pathogen
threat and social feedback can lead to potent collective disease defense.
acknowledged_ssus:
- _id: LifeSc
acknowledgement: We thank Mike Bidochka for the fungal strains, the ISTA Social Immunity
Team for ant collection, Hanna Leitner for experimental and molecular support, Jennifer
Robb and Lukas Lindorfer for microscopy, and the LabSupport Facility at ISTA for
general laboratory support. We further thank Victor Mireles, Iain Couzin, Fabian
Theis and the Social Immunity Team for continued feedback throughout, and Michael
Sixt, Yuko Ulrich, Koos Boomsma, Erika Dawson, Megan Kutzer and Hinrich Schulenburg
for comments on the manuscript. This project has received funding from the European
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
program (Grant No. 771402; EPIDEMICSonCHIP) to SC, from the Scientific Grant Agency
of the Slovak Republic (Grant No. 1/0521/20) to KB, and the Human Frontier Science
Program (Grant No. RGP0065/2012) to GT.
article_number: '3232'
article_processing_charge: Yes
article_type: original
author:
- first_name: Barbara E
full_name: Casillas Perez, Barbara E
id: 351ED2AA-F248-11E8-B48F-1D18A9856A87
last_name: Casillas Perez
- first_name: Katarína
full_name: Bod'Ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'Ová
orcid: 0000-0002-7214-0171
- first_name: Anna V
full_name: Grasse, Anna V
id: 406F989C-F248-11E8-B48F-1D18A9856A87
last_name: Grasse
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: Casillas Perez BE, Bodova K, Grasse AV, Tkačik G, Cremer S. Dynamic pathogen
detection and social feedback shape collective hygiene in ants. Nature Communications.
2023;14. doi:10.1038/s41467-023-38947-y
apa: Casillas Perez, B. E., Bodova, K., Grasse, A. V., Tkačik, G., & Cremer,
S. (2023). Dynamic pathogen detection and social feedback shape collective hygiene
in ants. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-38947-y
chicago: Casillas Perez, Barbara E, Katarina Bodova, Anna V Grasse, Gašper Tkačik,
and Sylvia Cremer. “Dynamic Pathogen Detection and Social Feedback Shape Collective
Hygiene in Ants.” Nature Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-38947-y.
ieee: B. E. Casillas Perez, K. Bodova, A. V. Grasse, G. Tkačik, and S. Cremer, “Dynamic
pathogen detection and social feedback shape collective hygiene in ants,” Nature
Communications, vol. 14. Springer Nature, 2023.
ista: Casillas Perez BE, Bodova K, Grasse AV, Tkačik G, Cremer S. 2023. Dynamic
pathogen detection and social feedback shape collective hygiene in ants. Nature
Communications. 14, 3232.
mla: Casillas Perez, Barbara E., et al. “Dynamic Pathogen Detection and Social Feedback
Shape Collective Hygiene in Ants.” Nature Communications, vol. 14, 3232,
Springer Nature, 2023, doi:10.1038/s41467-023-38947-y.
short: B.E. Casillas Perez, K. Bodova, A.V. Grasse, G. Tkačik, S. Cremer, Nature
Communications 14 (2023).
date_created: 2023-06-11T22:00:40Z
date_published: 2023-06-03T00:00:00Z
date_updated: 2023-08-07T13:09:09Z
day: '03'
ddc:
- '570'
department:
- _id: SyCr
- _id: GaTk
doi: 10.1038/s41467-023-38947-y
ec_funded: 1
external_id:
isi:
- '001002562700005'
pmid:
- '37270641'
file:
- access_level: open_access
checksum: 4af0393e3ed47b3fc46e68b81c3c1007
content_type: application/pdf
creator: dernst
date_created: 2023-06-13T08:05:46Z
date_updated: 2023-06-13T08:05:46Z
file_id: '13132'
file_name: 2023_NatureComm_CasillasPerez.pdf
file_size: 2358167
relation: main_file
success: 1
file_date_updated: 2023-06-13T08:05:46Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2649B4DE-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771402'
name: Epidemics in ant societies on a chip
- _id: 255008E4-B435-11E9-9278-68D0E5697425
grant_number: RGP0065/2012
name: Information processing and computation in fish groups
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '12945'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Dynamic pathogen detection and social feedback shape collective hygiene in
ants
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2023'
...
---
_id: '12762'
abstract:
- lang: eng
text: Neurons in the brain are wired into adaptive networks that exhibit collective
dynamics as diverse as scale-specific oscillations and scale-free neuronal avalanches.
Although existing models account for oscillations and avalanches separately, they
typically do not explain both phenomena, are too complex to analyze analytically
or intractable to infer from data rigorously. Here we propose a feedback-driven
Ising-like class of neural networks that captures avalanches and oscillations
simultaneously and quantitatively. In the simplest yet fully microscopic model
version, we can analytically compute the phase diagram and make direct contact
with human brain resting-state activity recordings via tractable inference of
the model’s two essential parameters. The inferred model quantitatively captures
the dynamics over a broad range of scales, from single sensor oscillations to
collective behaviors of extreme events and neuronal avalanches. Importantly, the
inferred parameters indicate that the co-existence of scale-specific (oscillations)
and scale-free (avalanches) dynamics occurs close to a non-equilibrium critical
point at the onset of self-sustained oscillations.
acknowledgement: This research was funded in whole, or in part, by the Austrian Science
Fund (FWF) (grant no. PT1013M03318 to F.L. and no. P34015 to G.T.). For the purpose
of open access, the author has applied a CC BY public copyright licence to any Author
Accepted Manuscript version arising from this submission. The study was supported
by the European Union Horizon 2020 research and innovation program under the Marie
Sklodowska-Curie action (grant agreement No. 754411 to F.L.).
article_processing_charge: No
article_type: original
author:
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Selver
full_name: Pepic, Selver
id: F93245C4-C3CA-11E9-B4F0-C6F4E5697425
last_name: Pepic
- first_name: Oren
full_name: Shriki, Oren
last_name: Shriki
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Statistical modeling
of adaptive neural networks explains co-existence of avalanches and oscillations
in resting human brain. Nature Computational Science. 2023;3:254-263. doi:10.1038/s43588-023-00410-9
apa: Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (2023).
Statistical modeling of adaptive neural networks explains co-existence of avalanches
and oscillations in resting human brain. Nature Computational Science.
Springer Nature. https://doi.org/10.1038/s43588-023-00410-9
chicago: Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele
De Martino. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence
of Avalanches and Oscillations in Resting Human Brain.” Nature Computational
Science. Springer Nature, 2023. https://doi.org/10.1038/s43588-023-00410-9.
ieee: F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Statistical
modeling of adaptive neural networks explains co-existence of avalanches and oscillations
in resting human brain,” Nature Computational Science, vol. 3. Springer
Nature, pp. 254–263, 2023.
ista: Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. 2023. Statistical modeling
of adaptive neural networks explains co-existence of avalanches and oscillations
in resting human brain. Nature Computational Science. 3, 254–263.
mla: Lombardi, Fabrizio, et al. “Statistical Modeling of Adaptive Neural Networks
Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.”
Nature Computational Science, vol. 3, Springer Nature, 2023, pp. 254–63,
doi:10.1038/s43588-023-00410-9.
short: F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational
Science 3 (2023) 254–263.
date_created: 2023-03-26T22:01:08Z
date_published: 2023-03-20T00:00:00Z
date_updated: 2023-08-16T12:41:53Z
day: '20'
ddc:
- '570'
department:
- _id: GaTk
- _id: GradSch
doi: 10.1038/s43588-023-00410-9
ec_funded: 1
external_id:
arxiv:
- '2108.06686'
file:
- access_level: open_access
checksum: 7c63b2b2edfd68aaffe96d70ca6a865a
content_type: application/pdf
creator: dernst
date_created: 2023-08-16T12:39:57Z
date_updated: 2023-08-16T12:39:57Z
file_id: '14073'
file_name: 2023_NatureCompScience_Lombardi.pdf
file_size: 4474284
relation: main_file
success: 1
file_date_updated: 2023-08-16T12:39:57Z
has_accepted_license: '1'
intvolume: ' 3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 254-263
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: eb943429-77a9-11ec-83b8-9f471cdf5c67
grant_number: M03318
name: Functional Advantages of Critical Brain Dynamics
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
grant_number: P34015
name: Efficient coding with biophysical realism
publication: Nature Computational Science
publication_identifier:
eissn:
- 2662-8457
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Statistical modeling of adaptive neural networks explains co-existence of avalanches
and oscillations in resting human brain
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2023'
...
---
_id: '14515'
abstract:
- lang: eng
text: Most natural and engineered information-processing systems transmit information
via signals that vary in time. Computing the information transmission rate or
the information encoded in the temporal characteristics of these signals requires
the mutual information between the input and output signals as a function of time,
i.e., between the input and output trajectories. Yet, this is notoriously difficult
because of the high-dimensional nature of the trajectory space, and all existing
techniques require approximations. We present an exact Monte Carlo technique called
path weight sampling (PWS) that, for the first time, makes it possible to compute
the mutual information between input and output trajectories for any stochastic
system that is described by a master equation. The principal idea is to use the
master equation to evaluate the exact conditional probability of an individual
output trajectory for a given input trajectory and average this via Monte Carlo
sampling in trajectory space to obtain the mutual information. We present three
variants of PWS, which all generate the trajectories using the standard stochastic
simulation algorithm. While direct PWS is a brute-force method, Rosenbluth-Rosenbluth
PWS exploits the analogy between signal trajectory sampling and polymer sampling,
and thermodynamic integration PWS is based on a reversible work calculation in
trajectory space. PWS also makes it possible to compute the mutual information
between input and output trajectories for systems with hidden internal states
as well as systems with feedback from output to input. Applying PWS to the bacterial
chemotaxis system, consisting of 182 coupled chemical reactions, demonstrates
not only that the scheme is highly efficient but also that the number of receptor
clusters is much smaller than hitherto believed, while their size is much larger.
acknowledgement: "We thank Bela Mulder, Tom Shimizu, Fotios Avgidis, Peter Bolhuis,
and Daan Frenkel for useful discussions and a careful reading of the manuscript,
and we thank Age Tjalma for support with obtaining the Gaussian approximation of
the chemotaxis system. This work is part of the Dutch Research Council (NWO) and
was performed at the research institute AMOLF. This project has received funding
from the European Research Council (ERC) under the European Union’s Horizon 2020
research and innovation program (Grant Agreement No. 885065) and was\r\nfinancially
supported by NWO through the “Building a Synthetic Cell (BaSyC)” Gravitation Grant
(024.003.019)."
article_number: '041017'
article_processing_charge: Yes
article_type: original
author:
- first_name: Manuel
full_name: Reinhardt, Manuel
last_name: Reinhardt
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Pieter Rein
full_name: Ten Wolde, Pieter Rein
last_name: Ten Wolde
citation:
ama: 'Reinhardt M, Tkačik G, Ten Wolde PR. Path weight sampling: Exact Monte Carlo
computation of the mutual information between stochastic trajectories. Physical
Review X. 2023;13(4). doi:10.1103/PhysRevX.13.041017'
apa: 'Reinhardt, M., Tkačik, G., & Ten Wolde, P. R. (2023). Path weight sampling:
Exact Monte Carlo computation of the mutual information between stochastic trajectories.
Physical Review X. American Physical Society. https://doi.org/10.1103/PhysRevX.13.041017'
chicago: 'Reinhardt, Manuel, Gašper Tkačik, and Pieter Rein Ten Wolde. “Path Weight
Sampling: Exact Monte Carlo Computation of the Mutual Information between Stochastic
Trajectories.” Physical Review X. American Physical Society, 2023. https://doi.org/10.1103/PhysRevX.13.041017.'
ieee: 'M. Reinhardt, G. Tkačik, and P. R. Ten Wolde, “Path weight sampling: Exact
Monte Carlo computation of the mutual information between stochastic trajectories,”
Physical Review X, vol. 13, no. 4. American Physical Society, 2023.'
ista: 'Reinhardt M, Tkačik G, Ten Wolde PR. 2023. Path weight sampling: Exact Monte
Carlo computation of the mutual information between stochastic trajectories. Physical
Review X. 13(4), 041017.'
mla: 'Reinhardt, Manuel, et al. “Path Weight Sampling: Exact Monte Carlo Computation
of the Mutual Information between Stochastic Trajectories.” Physical Review
X, vol. 13, no. 4, 041017, American Physical Society, 2023, doi:10.1103/PhysRevX.13.041017.'
short: M. Reinhardt, G. Tkačik, P.R. Ten Wolde, Physical Review X 13 (2023).
date_created: 2023-11-12T23:00:55Z
date_published: 2023-10-26T00:00:00Z
date_updated: 2023-11-13T09:03:30Z
day: '26'
ddc:
- '530'
department:
- _id: GaTk
doi: 10.1103/PhysRevX.13.041017
external_id:
arxiv:
- '2203.03461'
file:
- access_level: open_access
checksum: 32574aeebcca7347a4152c611b66b3d5
content_type: application/pdf
creator: dernst
date_created: 2023-11-13T09:00:19Z
date_updated: 2023-11-13T09:00:19Z
file_id: '14522'
file_name: 2023_PhysReviewX_Reinhardt.pdf
file_size: 1595223
relation: main_file
success: 1
file_date_updated: 2023-11-13T09:00:19Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '4'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
publication: Physical Review X
publication_identifier:
eissn:
- 2160-3308
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Path weight sampling: Exact Monte Carlo computation of the mutual information
between stochastic trajectories'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2023'
...
---
_id: '14656'
abstract:
- lang: eng
text: Although much is known about how single neurons in the hippocampus represent
an animal's position, how circuit interactions contribute to spatial coding is
less well understood. Using a novel statistical estimator and theoretical modeling,
both developed in the framework of maximum entropy models, we reveal highly structured
CA1 cell-cell interactions in male rats during open field exploration. The statistics
of these interactions depend on whether the animal is in a familiar or novel environment.
In both conditions the circuit interactions optimize the encoding of spatial information,
but for regimes that differ in the informativeness of their spatial inputs. This
structure facilitates linear decodability, making the information easy to read
out by downstream circuits. Overall, our findings suggest that the efficient coding
hypothesis is not only applicable to individual neuron properties in the sensory
periphery, but also to neural interactions in the central brain.
acknowledgement: M.N. was supported by the European Union Horizon 2020 Grant 665385.
J.C. was supported by the European Research Council Consolidator Grant 281511. G.T.
was supported by the Austrian Science Fund (FWF) Grant P34015. C.S. was supported
by an Institute of Science and Technology fellow award and by the National Science
Foundation (NSF) Award No. 1922658. We thank Peter Baracskay, Karola Kaefer, and
Hugo Malagon-Vina for the acquisition of the data. We also thank Federico Stella,
Wiktor Młynarski, Dori Derdikman, Colin Bredenberg, Roman Huszar, Heloisa Chiossi,
Lorenzo Posani, and Mohamady El-Gaby for comments on an earlier version of the manuscript.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Cristina
full_name: Savin, Cristina
id: 3933349E-F248-11E8-B48F-1D18A9856A87
last_name: Savin
citation:
ama: Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1
interactions optimizes spatial coding across experience. The Journal of Neuroscience.
2023;43(48):8140-8156. doi:10.1523/JNEUROSCI.0194-23.2023
apa: Nardin, M., Csicsvari, J. L., Tkačik, G., & Savin, C. (2023). The structure
of hippocampal CA1 interactions optimizes spatial coding across experience. The
Journal of Neuroscience. Society of Neuroscience. https://doi.org/10.1523/JNEUROSCI.0194-23.2023
chicago: Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin.
“The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across
Experience.” The Journal of Neuroscience. Society of Neuroscience, 2023.
https://doi.org/10.1523/JNEUROSCI.0194-23.2023.
ieee: M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal
CA1 interactions optimizes spatial coding across experience,” The Journal of
Neuroscience, vol. 43, no. 48. Society of Neuroscience, pp. 8140–8156, 2023.
ista: Nardin M, Csicsvari JL, Tkačik G, Savin C. 2023. The structure of hippocampal
CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience.
43(48), 8140–8156.
mla: Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes
Spatial Coding across Experience.” The Journal of Neuroscience, vol. 43,
no. 48, Society of Neuroscience, 2023, pp. 8140–56, doi:10.1523/JNEUROSCI.0194-23.2023.
short: M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience
43 (2023) 8140–8156.
date_created: 2023-12-10T23:00:58Z
date_published: 2023-11-29T00:00:00Z
date_updated: 2023-12-11T11:37:20Z
day: '29'
ddc:
- '570'
department:
- _id: JoCs
- _id: GaTk
doi: 10.1523/JNEUROSCI.0194-23.2023
ec_funded: 1
external_id:
pmid:
- '37758476'
file:
- access_level: closed
checksum: e2503c8f84be1050e28f64320f1d5bd2
content_type: application/pdf
creator: dernst
date_created: 2023-12-11T11:30:37Z
date_updated: 2023-12-11T11:30:37Z
embargo: 2024-06-01
embargo_to: open_access
file_id: '14674'
file_name: 2023_JourNeuroscience_Nardin.pdf
file_size: 2280632
relation: main_file
file_date_updated: 2023-12-11T11:30:37Z
has_accepted_license: '1'
intvolume: ' 43'
issue: '48'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1523/JNEUROSCI.0194-23.2023
month: '11'
oa: 1
oa_version: Published Version
page: 8140-8156
pmid: 1
project:
- _id: 257A4776-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '281511'
name: Memory-related information processing in neuronal circuits of the hippocampus
and entorhinal cortex
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
grant_number: P34015
name: Efficient coding with biophysical realism
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: The Journal of Neuroscience
publication_identifier:
eissn:
- 1529-2401
publication_status: published
publisher: Society of Neuroscience
quality_controlled: '1'
scopus_import: '1'
status: public
title: The structure of hippocampal CA1 interactions optimizes spatial coding across
experience
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 43
year: '2023'
...
---
_id: '12487'
abstract:
- lang: eng
text: Sleep plays a key role in preserving brain function, keeping the brain network
in a state that ensures optimal computational capabilities. Empirical evidence
indicates that such a state is consistent with criticality, where scale-free neuronal
avalanches emerge. However, the relationship between sleep, emergent avalanches,
and criticality remains poorly understood. Here we fully characterize the critical
behavior of avalanches during sleep, and study their relationship with the sleep
macro- and micro-architecture, in particular the cyclic alternating pattern (CAP).
We show that avalanche size and duration distributions exhibit robust power laws
with exponents approximately equal to −3/2 e −2, respectively. Importantly, we
find that sizes scale as a power law of the durations, and that all critical exponents
for neuronal avalanches obey robust scaling relations, which are consistent with
the mean-field directed percolation universality class. Our analysis demonstrates
that avalanche dynamics depends on the position within the NREM-REM cycles, with
the avalanche density increasing in the descending phases and decreasing in the
ascending phases of sleep cycles. Moreover, we show that, within NREM sleep, avalanche
occurrence correlates with CAP activation phases, particularly A1, which are the
expression of slow wave sleep propensity and have been proposed to be beneficial
for cognitive processes. The results suggest that neuronal avalanches, and thus
tuning to criticality, actively contribute to sleep development and play a role
in preserving network function. Such findings, alongside characterization of the
universality class for avalanches, open new avenues to the investigation of functional
role of criticality during sleep with potential clinical application.Significance
statementWe fully characterize the critical behavior of neuronal
avalanches during sleep, and show that avalanches follow precise scaling laws
that are consistent with the mean-field directed percolation universality class.
The analysis provides first evidence of a functional relationship between avalanche
occurrence, slow-wave sleep dynamics, sleep stage transitions and occurrence of
CAP phase A during NREM sleep. Because CAP is considered one of the major guardians
of NREM sleep that allows the brain to dynamically react to external perturbation
and contributes to the cognitive consolidation processes occurring in sleep, our
observations suggest that neuronal avalanches at criticality are associated with
flexible response to external inputs and to cognitive processes, a key assumption
of the critical brain hypothesis.
acknowledgement: FL acknowledges support from the European Union’s Horizon 2020 research
and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411,
and from the Austrian Science Fund (FWF) under the Lise Meitner fellowship No. PT1013M03318.
IA acknowledges financial support from the MIUR PRIN 2017WZFTZP.
article_processing_charge: Yes
article_type: original
author:
- first_name: Silvia
full_name: Scarpetta, Silvia
last_name: Scarpetta
- first_name: Niccolò
full_name: Morrisi, Niccolò
last_name: Morrisi
- first_name: Carlotta
full_name: Mutti, Carlotta
last_name: Mutti
- first_name: Nicoletta
full_name: Azzi, Nicoletta
last_name: Azzi
- first_name: Irene
full_name: Trippi, Irene
last_name: Trippi
- first_name: Rosario
full_name: Ciliento, Rosario
last_name: Ciliento
- first_name: Ilenia
full_name: Apicella, Ilenia
last_name: Apicella
- first_name: Giovanni
full_name: Messuti, Giovanni
last_name: Messuti
- first_name: Marianna
full_name: Angiolelli, Marianna
last_name: Angiolelli
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Liborio
full_name: Parrino, Liborio
last_name: Parrino
- first_name: Anna Elisabetta
full_name: Vaudano, Anna Elisabetta
last_name: Vaudano
citation:
ama: Scarpetta S, Morrisi N, Mutti C, et al. Criticality of neuronal avalanches
in human sleep and their relationship with sleep macro- and micro-architecture.
iScience. 2023;26(10):107840. doi:10.1016/j.isci.2023.107840
apa: Scarpetta, S., Morrisi, N., Mutti, C., Azzi, N., Trippi, I., Ciliento, R.,
… Vaudano, A. E. (2023). Criticality of neuronal avalanches in human sleep and
their relationship with sleep macro- and micro-architecture. IScience.
Elsevier. https://doi.org/10.1016/j.isci.2023.107840
chicago: Scarpetta, Silvia, Niccolò Morrisi, Carlotta Mutti, Nicoletta Azzi, Irene
Trippi, Rosario Ciliento, Ilenia Apicella, et al. “Criticality of Neuronal Avalanches
in Human Sleep and Their Relationship with Sleep Macro- and Micro-Architecture.”
IScience. Elsevier, 2023. https://doi.org/10.1016/j.isci.2023.107840.
ieee: S. Scarpetta et al., “Criticality of neuronal avalanches in human sleep
and their relationship with sleep macro- and micro-architecture,” iScience,
vol. 26, no. 10. Elsevier, p. 107840, 2023.
ista: Scarpetta S, Morrisi N, Mutti C, Azzi N, Trippi I, Ciliento R, Apicella I,
Messuti G, Angiolelli M, Lombardi F, Parrino L, Vaudano AE. 2023. Criticality
of neuronal avalanches in human sleep and their relationship with sleep macro-
and micro-architecture. iScience. 26(10), 107840.
mla: Scarpetta, Silvia, et al. “Criticality of Neuronal Avalanches in Human Sleep
and Their Relationship with Sleep Macro- and Micro-Architecture.” IScience,
vol. 26, no. 10, Elsevier, 2023, p. 107840, doi:10.1016/j.isci.2023.107840.
short: S. Scarpetta, N. Morrisi, C. Mutti, N. Azzi, I. Trippi, R. Ciliento, I. Apicella,
G. Messuti, M. Angiolelli, F. Lombardi, L. Parrino, A.E. Vaudano, IScience 26
(2023) 107840.
date_created: 2023-02-02T10:50:17Z
date_published: 2023-10-20T00:00:00Z
date_updated: 2023-12-13T11:11:24Z
day: '20'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1016/j.isci.2023.107840
ec_funded: 1
external_id:
isi:
- '001082331200001'
pmid:
- '37766992'
file:
- access_level: open_access
checksum: f499836af172ecc9865de4bb41fa99d1
content_type: application/pdf
creator: dernst
date_created: 2023-10-09T07:23:46Z
date_updated: 2023-10-09T07:23:46Z
file_id: '14412'
file_name: 2023_iScience_Scarpetta.pdf
file_size: 4872708
relation: main_file
success: 1
file_date_updated: 2023-10-09T07:23:46Z
has_accepted_license: '1'
intvolume: ' 26'
isi: 1
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '107840'
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: eb943429-77a9-11ec-83b8-9f471cdf5c67
grant_number: M03318
name: Functional Advantages of Critical Brain Dynamics
publication: iScience
publication_identifier:
eissn:
- 2589-0042
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Criticality of neuronal avalanches in human sleep and their relationship with
sleep macro- and micro-architecture
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 26
year: '2023'
...
---
_id: '14862'
article_number: ckad160.597
article_processing_charge: No
author:
- first_name: Simon
full_name: Rella, Simon
id: B4765ACA-AA38-11E9-AC9A-0930E6697425
last_name: Rella
- first_name: Y
full_name: Kulikova, Y
last_name: Kulikova
- first_name: Aygul
full_name: Minnegalieva, Aygul
id: 87DF77F0-1D9A-11EA-B6AE-CE443DDC885E
last_name: Minnegalieva
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: 'Rella S, Kulikova Y, Minnegalieva A, Kondrashov F. Complex vaccination strategies
prevent the emergence of vaccine resistance. In: European Journal of Public
Health. Vol 33. Oxford University Press; 2023. doi:10.1093/eurpub/ckad160.597'
apa: Rella, S., Kulikova, Y., Minnegalieva, A., & Kondrashov, F. (2023). Complex
vaccination strategies prevent the emergence of vaccine resistance. In European
Journal of Public Health (Vol. 33). Oxford University Press. https://doi.org/10.1093/eurpub/ckad160.597
chicago: Rella, Simon, Y Kulikova, Aygul Minnegalieva, and Fyodor Kondrashov. “Complex
Vaccination Strategies Prevent the Emergence of Vaccine Resistance.” In European
Journal of Public Health, Vol. 33. Oxford University Press, 2023. https://doi.org/10.1093/eurpub/ckad160.597.
ieee: S. Rella, Y. Kulikova, A. Minnegalieva, and F. Kondrashov, “Complex vaccination
strategies prevent the emergence of vaccine resistance,” in European Journal
of Public Health, 2023, vol. 33, no. Supplement_2.
ista: Rella S, Kulikova Y, Minnegalieva A, Kondrashov F. 2023. Complex vaccination
strategies prevent the emergence of vaccine resistance. European Journal of Public
Health. vol. 33, ckad160.597.
mla: Rella, Simon, et al. “Complex Vaccination Strategies Prevent the Emergence
of Vaccine Resistance.” European Journal of Public Health, vol. 33, no.
Supplement_2, ckad160.597, Oxford University Press, 2023, doi:10.1093/eurpub/ckad160.597.
short: S. Rella, Y. Kulikova, A. Minnegalieva, F. Kondrashov, in:, European Journal
of Public Health, Oxford University Press, 2023.
date_created: 2024-01-22T12:02:28Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2024-01-24T11:16:09Z
day: '01'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1093/eurpub/ckad160.597
file:
- access_level: open_access
checksum: 98706755bb4cc5d553818ade7660a7d2
content_type: application/pdf
creator: dernst
date_created: 2024-01-24T11:12:33Z
date_updated: 2024-01-24T11:12:33Z
file_id: '14882'
file_name: 2023_EurJourPublicHealth_Rella.pdf
file_size: 71057
relation: main_file
success: 1
file_date_updated: 2024-01-24T11:12:33Z
has_accepted_license: '1'
intvolume: ' 33'
issue: Supplement_2
keyword:
- Public Health
- Environmental and Occupational Health
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
publication: European Journal of Public Health
publication_identifier:
eissn:
- 1464-360X
issn:
- 1101-1262
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
status: public
title: Complex vaccination strategies prevent the emergence of vaccine resistance
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 33
year: '2023'
...
---
_id: '14402'
abstract:
- lang: eng
text: Alpha oscillations are a distinctive feature of the awake resting state of
the human brain. However, their functional role in resting-state neuronal dynamics
remains poorly understood. Here we show that, during resting wakefulness, alpha
oscillations drive an alternation of attenuation and amplification bouts in neural
activity. Our analysis indicates that inhibition is activated in pulses that last
for a single alpha cycle and gradually suppress neural activity, while excitation
is successively enhanced over a few alpha cycles to amplify neural activity. Furthermore,
we show that long-term alpha amplitude fluctuations—the “waxing and waning” phenomenon—are
an attenuation-amplification mechanism described by a power-law decay of the activity
rate in the “waning” phase. Importantly, we do not observe such dynamics during
non-rapid eye movement (NREM) sleep with marginal alpha oscillations. The results
suggest that alpha oscillations modulate neural activity not only through pulses
of inhibition (pulsed inhibition hypothesis) but also by timely enhancement of
excitation (or disinhibition).
acknowledgement: This research was funded in whole or in part by the Austrian Science
Fund (FWF) (grant PT1013M03318 to F.L.). For the purpose of open access, the author
has applied a CC BY public copyright license to any Author Accepted Manuscript version
arising from this submission. The study was supported by the European Union Horizon
2020 Research and Innovation Program under the Marie Sklodowska-Curie action (grant
agreement 754411 to F.L.) and in part by the NextGenerationEU through the grant
TAlent in ReSearch@University of Padua – STARS@UNIPD (to F.L.) (project BRAINCIP
[brain criticality and information processing]). L.d.A. acknowledges support from
the Italian MIUR project PRIN2017WZFTZP and partial support from NEXTGENERATIONEU
(NGEU) funded by the Ministry of University and Research (MUR), National Recovery
and Resilience Plan (NRRP), and project MNESYS (PE0000006)—a multiscale integrated
approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022).
O.S. acknowledges support from the Israel Science Foundation, grant 504/17. The
work was supported in part by DIRP ZIAMH02797 (to D.P.).
article_number: '113162'
article_processing_charge: Yes
article_type: original
author:
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Hans J.
full_name: Herrmann, Hans J.
last_name: Herrmann
- first_name: Liborio
full_name: Parrino, Liborio
last_name: Parrino
- first_name: Dietmar
full_name: Plenz, Dietmar
last_name: Plenz
- first_name: Silvia
full_name: Scarpetta, Silvia
last_name: Scarpetta
- first_name: Anna Elisabetta
full_name: Vaudano, Anna Elisabetta
last_name: Vaudano
- first_name: Lucilla
full_name: De Arcangelis, Lucilla
last_name: De Arcangelis
- first_name: Oren
full_name: Shriki, Oren
last_name: Shriki
citation:
ama: 'Lombardi F, Herrmann HJ, Parrino L, et al. Beyond pulsed inhibition: Alpha
oscillations modulate attenuation and amplification of neural activity in the
awake resting state. Cell Reports. 2023;42(10). doi:10.1016/j.celrep.2023.113162'
apa: 'Lombardi, F., Herrmann, H. J., Parrino, L., Plenz, D., Scarpetta, S., Vaudano,
A. E., … Shriki, O. (2023). Beyond pulsed inhibition: Alpha oscillations modulate
attenuation and amplification of neural activity in the awake resting state. Cell
Reports. Elsevier. https://doi.org/10.1016/j.celrep.2023.113162'
chicago: 'Lombardi, Fabrizio, Hans J. Herrmann, Liborio Parrino, Dietmar Plenz,
Silvia Scarpetta, Anna Elisabetta Vaudano, Lucilla De Arcangelis, and Oren Shriki.
“Beyond Pulsed Inhibition: Alpha Oscillations Modulate Attenuation and Amplification
of Neural Activity in the Awake Resting State.” Cell Reports. Elsevier,
2023. https://doi.org/10.1016/j.celrep.2023.113162.'
ieee: 'F. Lombardi et al., “Beyond pulsed inhibition: Alpha oscillations
modulate attenuation and amplification of neural activity in the awake resting
state,” Cell Reports, vol. 42, no. 10. Elsevier, 2023.'
ista: 'Lombardi F, Herrmann HJ, Parrino L, Plenz D, Scarpetta S, Vaudano AE, De
Arcangelis L, Shriki O. 2023. Beyond pulsed inhibition: Alpha oscillations modulate
attenuation and amplification of neural activity in the awake resting state. Cell
Reports. 42(10), 113162.'
mla: 'Lombardi, Fabrizio, et al. “Beyond Pulsed Inhibition: Alpha Oscillations Modulate
Attenuation and Amplification of Neural Activity in the Awake Resting State.”
Cell Reports, vol. 42, no. 10, 113162, Elsevier, 2023, doi:10.1016/j.celrep.2023.113162.'
short: F. Lombardi, H.J. Herrmann, L. Parrino, D. Plenz, S. Scarpetta, A.E. Vaudano,
L. De Arcangelis, O. Shriki, Cell Reports 42 (2023).
date_created: 2023-10-08T22:01:15Z
date_published: 2023-10-31T00:00:00Z
date_updated: 2024-01-30T14:07:40Z
day: '31'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1016/j.celrep.2023.113162
ec_funded: 1
external_id:
isi:
- '001086695500001'
pmid:
- '37777965'
file:
- access_level: open_access
checksum: 9c71eb2a03aa160415f01ad95f49ceb5
content_type: application/pdf
creator: dernst
date_created: 2024-01-30T14:07:08Z
date_updated: 2024-01-30T14:07:08Z
file_id: '14914'
file_name: 2023_CellReports_Lombardi.pdf
file_size: 5599007
relation: main_file
success: 1
file_date_updated: 2024-01-30T14:07:08Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: eb943429-77a9-11ec-83b8-9f471cdf5c67
grant_number: M03318
name: Functional Advantages of Critical Brain Dynamics
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Cell Reports
publication_identifier:
eissn:
- 2211-1247
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification
of neural activity in the awake resting state'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '10821'
abstract:
- lang: eng
text: 'Rhythmical cortical activity has long been recognized as a pillar in the
architecture of brain functions. Yet, the dynamic organization of its underlying
neuronal population activity remains elusive. Here we uncover a unique organizational
principle regulating collective neural dynamics associated with the alpha rhythm
in the awake resting-state. We demonstrate that cascades of neural activity obey
attenuation-amplification dynamics (AAD), with a transition from the attenuation
regime—within alpha cycles—to the amplification regime—across a few alpha cycles—that
correlates with the characteristic frequency of the alpha rhythm. We find that
this short-term AAD is part of a large-scale, size-dependent temporal structure
of neural cascades that obeys the Omori law: Following large cascades, smaller
cascades occur at a rate that decays as a power-law of the time elapsed from such
events—a long-term AAD regulating brain activity over the timescale of seconds.
We show that such an organization corresponds to the "waxing and waning" of the
alpha rhythm. Importantly, we observe that short- and long-term AAD are unique
to the awake resting-state, being absent during NREM sleep. These results provide
a quantitative, dynamical description of the so-far-qualitative notion of the
"waxing and waning" phenomenon, and suggest the AAD as a key principle governing
resting-state dynamics across timescales.'
acknowledgement: FL acknowledges support from the European Union’s Horizon 2020 research
and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411.
LdA acknowledges the Italian MIUR project PRIN2017WZFTZP for financial support and
the project E-PASSION of the program VALERE 2019 funded by the University of Campania,
Italy “L. Vanvitelli”. OS acknowledges support from the Israel Science Foundation,
Grant No. 504/17. Supported in part by DIRP ZIAMH02797 to DP.
article_processing_charge: No
author:
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Hans J.
full_name: Herrmann, Hans J.
last_name: Herrmann
- first_name: Liborio
full_name: Parrino, Liborio
last_name: Parrino
- first_name: Dietmar
full_name: Plenz, Dietmar
last_name: Plenz
- first_name: Silvia
full_name: Scarpetta, Silvia
last_name: Scarpetta
- first_name: Anna Elisabetta
full_name: Vaudano, Anna Elisabetta
last_name: Vaudano
- first_name: Lucilla
full_name: de Arcangelis, Lucilla
last_name: de Arcangelis
- first_name: Oren
full_name: Shriki, Oren
last_name: Shriki
citation:
ama: Lombardi F, Herrmann HJ, Parrino L, et al. Alpha rhythm induces attenuation-amplification
dynamics in neural activity cascades. bioRxiv. 2022. doi:10.1101/2022.03.03.482657
apa: Lombardi, F., Herrmann, H. J., Parrino, L., Plenz, D., Scarpetta, S., Vaudano,
A. E., … Shriki, O. (2022). Alpha rhythm induces attenuation-amplification dynamics
in neural activity cascades. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.03.03.482657
chicago: Lombardi, Fabrizio, Hans J. Herrmann, Liborio Parrino, Dietmar Plenz, Silvia
Scarpetta, Anna Elisabetta Vaudano, Lucilla de Arcangelis, and Oren Shriki. “Alpha
Rhythm Induces Attenuation-Amplification Dynamics in Neural Activity Cascades.”
BioRxiv. Cold Spring Harbor Laboratory, 2022. https://doi.org/10.1101/2022.03.03.482657.
ieee: F. Lombardi et al., “Alpha rhythm induces attenuation-amplification
dynamics in neural activity cascades,” bioRxiv. Cold Spring Harbor Laboratory,
2022.
ista: Lombardi F, Herrmann HJ, Parrino L, Plenz D, Scarpetta S, Vaudano AE, de Arcangelis
L, Shriki O. 2022. Alpha rhythm induces attenuation-amplification dynamics in
neural activity cascades. bioRxiv, 10.1101/2022.03.03.482657.
mla: Lombardi, Fabrizio, et al. “Alpha Rhythm Induces Attenuation-Amplification
Dynamics in Neural Activity Cascades.” BioRxiv, Cold Spring Harbor Laboratory,
2022, doi:10.1101/2022.03.03.482657.
short: F. Lombardi, H.J. Herrmann, L. Parrino, D. Plenz, S. Scarpetta, A.E. Vaudano,
L. de Arcangelis, O. Shriki, BioRxiv (2022).
date_created: 2022-03-04T22:20:59Z
date_published: 2022-03-04T00:00:00Z
date_updated: 2022-03-07T07:28:34Z
day: '04'
department:
- _id: GaTk
doi: 10.1101/2022.03.03.482657
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2022.03.03.482657
month: '03'
oa: 1
oa_version: Preprint
page: '25'
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: bioRxiv
publication_status: published
publisher: Cold Spring Harbor Laboratory
status: public
title: Alpha rhythm induces attenuation-amplification dynamics in neural activity
cascades
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...