---
_id: '12716'
abstract:
- lang: eng
text: "The process of detecting and evaluating sensory information to guide behaviour
is termed perceptual decision-making (PDM), and is critical for the ability of
an organism to interact with its external world. Individuals with autism, a neurodevelopmental
condition primarily characterised by social and communication difficulties, frequently
exhibit altered sensory processing and PDM difficulties are widely reported. Recent
technological advancements have pushed forward our understanding of the genetic
changes accompanying this condition, however our understanding of how these mutations
affect the function of specific neuronal circuits and bring about the corresponding
behavioural changes remains limited. Here, we use an innate PDM task, the looming
avoidance response (LAR) paradigm, to identify a convergent behavioural abnormality
across three molecularly distinct genetic mouse models of autism (Cul3, Setd5
and Ptchd1). Although mutant mice can rapidly detect threatening visual stimuli,
their responses are consistently delayed, requiring longer to initiate an appropriate
response than their wild-type siblings. Mutant animals show abnormal adaptation
in both their stimulus- evoked escape responses and exploratory dynamics following
repeated stimulus presentations. Similarly delayed behavioural responses are observed
in wild-type animals when faced with more ambiguous threats, suggesting the mutant
phenotype could arise from a dysfunction in the flexible control of this PDM process.\r\nOur
knowledge of the core neuronal circuitry mediating the LAR facilitated a detailed
dissection of the neuronal mechanisms underlying the behavioural impairment. In
vivo extracellular recording revealed that visual responses were unaffected within
a key brain region for the rapid processing of visual threats, the superior colliculus
(SC), indicating that the behavioural delay was unlikely to originate from sensory
impairments. Delayed behavioural responses were recapitulated in the Setd5 model
following optogenetic stimulation of the excitatory output neurons of the SC,
which are known to mediate escape initiation through the activation of cells in
the underlying dorsal periaqueductal grey (dPAG). In vitro patch-clamp recordings
of dPAG cells uncovered a stark hypoexcitability phenotype in two out of the three
genetic models investigated (Setd5 and Ptchd1), that in Setd5, is mediated by
the misregulation of voltage-gated potassium channels. Overall, our results show
that the ability to use visual information to drive efficient escape responses
is impaired in three diverse genetic mouse models of autism and that, in one of
the models studied, this behavioural delay likely originates from differences
in the intrinsic excitability of a key subcortical node, the dPAG. Furthermore,
this work showcases the use of an innate behavioural paradigm to mechanistically
dissect PDM processes in autism."
acknowledged_ssus:
- _id: PreCl
- _id: Bio
- _id: LifeSc
- _id: M-Shop
- _id: CampIT
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Laura
full_name: Burnett, Laura
id: 3B717F68-F248-11E8-B48F-1D18A9856A87
last_name: Burnett
orcid: 0000-0002-8937-410X
citation:
ama: Burnett L. To flee, or not to flee? Using innate defensive behaviours to investigate
rapid perceptual decision-making through subcortical circuits in mouse models
of autism. 2023. doi:10.15479/at:ista:12716
apa: Burnett, L. (2023). To flee, or not to flee? Using innate defensive behaviours
to investigate rapid perceptual decision-making through subcortical circuits in
mouse models of autism. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12716
chicago: Burnett, Laura. “To Flee, or Not to Flee? Using Innate Defensive Behaviours
to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in
Mouse Models of Autism.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12716.
ieee: L. Burnett, “To flee, or not to flee? Using innate defensive behaviours to
investigate rapid perceptual decision-making through subcortical circuits in mouse
models of autism,” Institute of Science and Technology Austria, 2023.
ista: Burnett L. 2023. To flee, or not to flee? Using innate defensive behaviours
to investigate rapid perceptual decision-making through subcortical circuits in
mouse models of autism. Institute of Science and Technology Austria.
mla: Burnett, Laura. To Flee, or Not to Flee? Using Innate Defensive Behaviours
to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in
Mouse Models of Autism. Institute of Science and Technology Austria, 2023,
doi:10.15479/at:ista:12716.
short: L. Burnett, To Flee, or Not to Flee? Using Innate Defensive Behaviours to
Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse
Models of Autism, Institute of Science and Technology Austria, 2023.
date_created: 2023-03-08T15:19:45Z
date_published: 2023-03-10T00:00:00Z
date_updated: 2023-04-05T10:59:04Z
day: '10'
ddc:
- '599'
- '573'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MaJö
doi: 10.15479/at:ista:12716
ec_funded: 1
file:
- access_level: closed
checksum: 6c6d9cc2c4cdacb74e6b1047a34d7332
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: lburnett
date_created: 2023-03-08T15:08:46Z
date_updated: 2023-03-08T15:08:46Z
file_id: '12717'
file_name: Burnett_Thesis_2023.docx
file_size: 23029260
relation: source_file
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checksum: cebc77705288bf4382db9b3541483cd0
content_type: application/pdf
creator: lburnett
date_created: 2023-03-08T15:08:46Z
date_updated: 2023-03-08T15:08:46Z
file_id: '12718'
file_name: Burnett_Thesis_2023_pdfA.pdf
file_size: 11959869
relation: main_file
success: 1
file_date_updated: 2023-03-08T15:08:46Z
has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: '178'
project:
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '756502'
name: Circuits of Visual Attention
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
title: To flee, or not to flee? Using innate defensive behaviours to investigate rapid
perceptual decision-making through subcortical circuits in mouse models of autism
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12826'
abstract:
- lang: eng
text: "During navigation, animals can infer the structure of the environment by
computing the optic flow cues elicited by their own movements, and subsequently
use this information to instruct proper locomotor actions. These computations
require a panoramic assessment of the visual environment in order to disambiguate
similar sensory experiences that may require distinct behavioral responses. The
estimation of the global motion patterns is therefore essential for successful
navigation. Yet, our understanding of the algorithms and implementations that
enable coherent panoramic visual perception remains scarce. Here I pursue this
problem by dissecting the functional aspects of interneuronal communication in
the lobula plate tangential cell network in Drosophila melanogaster. The results
presented in the thesis demonstrate that the basis for effective interpretation
of the optic flow in this circuit are stereotyped synaptic connections that mediate
the formation of distinct subnetworks, each extracting a particular pattern of
global motion. \r\nFirstly, I show that gap junctions are essential for a correct
interpretation of binocular motion cues by horizontal motion-sensitive cells.
HS cells form electrical synapses with contralateral H2 neurons that are involved
in detecting yaw rotation and translation. I developed an FlpStop-mediated mutant
of a gap junction protein ShakB that disrupts these electrical synapses. While
the loss of electrical synapses does not affect the tuning of the direction selectivity
in HS neurons, it severely alters their sensitivity to horizontal motion in the
contralateral side. These physiological changes result in an inappropriate integration
of binocular motion cues in walking animals. While wild-type flies form a binocular
perception of visual motion by non-linear integration of monocular optic flow
cues, the mutant flies sum the monocular inputs linearly. These results indicate
that rather than averaging signals in neighboring neurons, gap-junctions operate
in conjunction with chemical synapses to mediate complex non-linear optic flow
computations.\r\nSecondly, I show that stochastic manipulation of neuronal activity
in the lobula plate tangential cell network is a powerful approach to study the
neuronal implementation of optic flow-based navigation in flies. Tangential neurons
form multiple subnetworks, each mediating course-stabilizing response to a particular
global pattern of visual motion. Application of genetic mosaic techniques can
provide sparse optogenetic activation of HS cells in numerous combinations. These
distinct combinations of activated neurons drive an array of distinct behavioral
responses, providing important insights into how visuomotor transformation is
performed in the lobula plate tangential cell network. This approach can be complemented
by stochastic silencing of tangential neurons, enabling direct assessment of the
functional role of individual tangential neurons in the processing of specific
visual motion patterns.\r\n\tTaken together, the findings presented in this thesis
suggest that establishing specific activity patterns of tangential cells via stereotyped
synaptic connectivity is a key to efficient optic flow-based navigation in Drosophila
melanogaster."
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Victoria
full_name: Pokusaeva, Victoria
id: 3184041C-F248-11E8-B48F-1D18A9856A87
last_name: Pokusaeva
orcid: 0000-0001-7660-444X
citation:
ama: Pokusaeva V. Neural control of optic flow-based navigation in Drosophila melanogaster.
2023. doi:10.15479/at:ista:12826
apa: Pokusaeva, V. (2023). Neural control of optic flow-based navigation in Drosophila
melanogaster. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12826
chicago: Pokusaeva, Victoria. “Neural Control of Optic Flow-Based Navigation in
Drosophila Melanogaster.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12826.
ieee: V. Pokusaeva, “Neural control of optic flow-based navigation in Drosophila
melanogaster,” Institute of Science and Technology Austria, 2023.
ista: Pokusaeva V. 2023. Neural control of optic flow-based navigation in Drosophila
melanogaster. Institute of Science and Technology Austria.
mla: Pokusaeva, Victoria. Neural Control of Optic Flow-Based Navigation in Drosophila
Melanogaster. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12826.
short: V. Pokusaeva, Neural Control of Optic Flow-Based Navigation in Drosophila
Melanogaster, Institute of Science and Technology Austria, 2023.
date_created: 2023-04-14T14:56:04Z
date_published: 2023-04-18T00:00:00Z
date_updated: 2023-06-23T09:47:36Z
day: '18'
ddc:
- '570'
- '571'
degree_awarded: PhD
department:
- _id: MaJö
- _id: GradSch
doi: 10.15479/at:ista:12826
ec_funded: 1
file:
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checksum: 5f589a9af025f7eeebfd0c186209913e
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: vpokusae
date_created: 2023-04-20T09:14:38Z
date_updated: 2023-04-20T09:26:51Z
file_id: '12857'
file_name: Thesis_Pokusaeva.docx
file_size: 14507243
relation: source_file
- access_level: open_access
checksum: bbeed76db45a996b4c91a9abe12ce0ec
content_type: application/pdf
creator: vpokusae
date_created: 2023-04-20T09:14:44Z
date_updated: 2023-04-20T09:14:44Z
file_id: '12858'
file_name: Thesis_Pokusaeva.pdf
file_size: 10090711
relation: main_file
success: 1
file_date_updated: 2023-04-20T09:26:51Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '04'
oa: 1
oa_version: Published Version
page: '106'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication_identifier:
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
title: Neural control of optic flow-based navigation in Drosophila melanogaster
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: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '13230'
abstract:
- lang: eng
text: 'To interpret the sensory environment, the brain combines ambiguous sensory
measurements with knowledge that reflects context-specific prior experience. But
environmental contexts can change abruptly and unpredictably, resulting in uncertainty
about the current context. Here we address two questions: how should context-specific
prior knowledge optimally guide the interpretation of sensory stimuli in changing
environments, and do human decision-making strategies resemble this optimum? We
probe these questions with a task in which subjects report the orientation of
ambiguous visual stimuli that were drawn from three dynamically switching distributions,
representing different environmental contexts. We derive predictions for an ideal
Bayesian observer that leverages knowledge about the statistical structure of
the task to maximize decision accuracy, including knowledge about the dynamics
of the environment. We show that its decisions are biased by the dynamically changing
task context. The magnitude of this decision bias depends on the observer’s continually
evolving belief about the current context. The model therefore not only predicts
that decision bias will grow as the context is indicated more reliably, but also
as the stability of the environment increases, and as the number of trials since
the last context switch grows. Analysis of human choice data validates all three
predictions, suggesting that the brain leverages knowledge of the statistical
structure of environmental change when interpreting ambiguous sensory signals.'
acknowledgement: The authors thank Corey Ziemba and Zoe Boundy-Singer for valuable
discussion and feedback.
article_number: e1011104
article_processing_charge: No
article_type: original
author:
- first_name: Julie A.
full_name: Charlton, Julie A.
last_name: Charlton
- first_name: Wiktor F
full_name: Mlynarski, Wiktor F
id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- first_name: Yoon H.
full_name: Bai, Yoon H.
last_name: Bai
- first_name: Ann M.
full_name: Hermundstad, Ann M.
last_name: Hermundstad
- first_name: Robbe L.T.
full_name: Goris, Robbe L.T.
last_name: Goris
citation:
ama: Charlton JA, Mlynarski WF, Bai YH, Hermundstad AM, Goris RLT. Environmental
dynamics shape perceptual decision bias. PLoS Computational Biology. 2023;19(6).
doi:10.1371/journal.pcbi.1011104
apa: Charlton, J. A., Mlynarski, W. F., Bai, Y. H., Hermundstad, A. M., & Goris,
R. L. T. (2023). Environmental dynamics shape perceptual decision bias. PLoS
Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1011104
chicago: Charlton, Julie A., Wiktor F Mlynarski, Yoon H. Bai, Ann M. Hermundstad,
and Robbe L.T. Goris. “Environmental Dynamics Shape Perceptual Decision Bias.”
PLoS Computational Biology. Public Library of Science, 2023. https://doi.org/10.1371/journal.pcbi.1011104.
ieee: J. A. Charlton, W. F. Mlynarski, Y. H. Bai, A. M. Hermundstad, and R. L. T.
Goris, “Environmental dynamics shape perceptual decision bias,” PLoS Computational
Biology, vol. 19, no. 6. Public Library of Science, 2023.
ista: Charlton JA, Mlynarski WF, Bai YH, Hermundstad AM, Goris RLT. 2023. Environmental
dynamics shape perceptual decision bias. PLoS Computational Biology. 19(6), e1011104.
mla: Charlton, Julie A., et al. “Environmental Dynamics Shape Perceptual Decision
Bias.” PLoS Computational Biology, vol. 19, no. 6, e1011104, Public Library
of Science, 2023, doi:10.1371/journal.pcbi.1011104.
short: J.A. Charlton, W.F. Mlynarski, Y.H. Bai, A.M. Hermundstad, R.L.T. Goris,
PLoS Computational Biology 19 (2023).
date_created: 2023-07-16T22:01:09Z
date_published: 2023-06-08T00:00:00Z
date_updated: 2023-08-02T06:33:50Z
day: '08'
ddc:
- '570'
department:
- _id: MaJö
doi: 10.1371/journal.pcbi.1011104
external_id:
isi:
- '001003410200003'
pmid:
- '37289753'
file:
- access_level: open_access
checksum: 800761fa2c647fabd6ad034589bc526e
content_type: application/pdf
creator: dernst
date_created: 2023-07-18T08:07:59Z
date_updated: 2023-07-18T08:07:59Z
file_id: '13247'
file_name: 2023_PloSCompBio_Charlton.pdf
file_size: 2281868
relation: main_file
success: 1
file_date_updated: 2023-07-18T08:07:59Z
has_accepted_license: '1'
intvolume: ' 19'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Computational Biology
publication_identifier:
eissn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Environmental dynamics shape perceptual decision bias
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 19
year: '2023'
...
---
_id: '12349'
abstract:
- lang: eng
text: Statistics of natural scenes are not uniform - their structure varies dramatically
from ground to sky. It remains unknown whether these non-uniformities are reflected
in the large-scale organization of the early visual system and what benefits such
adaptations would confer. Here, by relying on the efficient coding hypothesis,
we predict that changes in the structure of receptive fields across visual space
increase the efficiency of sensory coding. We show experimentally that, in agreement
with our predictions, receptive fields of retinal ganglion cells change their
shape along the dorsoventral retinal axis, with a marked surround asymmetry at
the visual horizon. Our work demonstrates that, according to principles of efficient
coding, the panoramic structure of natural scenes is exploited by the retina across
space and cell-types.
acknowledged_ssus:
- _id: ScienComp
- _id: PreCl
- _id: LifeSc
- _id: Bio
acknowledgement: We thank Hiroki Asari for sharing the dataset of naturalistic images,
Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative
work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings.
We also thank Gasper Tkacik and members of the Neuroethology group for their comments
on the manuscript. This research was supported by the Scientific Service Units of
IST Austria through resources provided by Scientific Computing, the Preclinical
Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work
was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385
(DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers
Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European
Research Council Starting Grant 756502 (MJ).
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Divyansh
full_name: Gupta, Divyansh
id: 2A485EBE-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
orcid: 0000-0001-7400-6665
- first_name: Wiktor F
full_name: Mlynarski, Wiktor F
id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- first_name: Anton L
full_name: Sumser, Anton L
id: 3320A096-F248-11E8-B48F-1D18A9856A87
last_name: Sumser
orcid: 0000-0002-4792-1881
- first_name: Olga
full_name: Symonova, Olga
id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
last_name: Symonova
orcid: 0000-0003-2012-9947
- first_name: Jan
full_name: Svaton, Jan
id: f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2
last_name: Svaton
orcid: 0000-0002-6198-2939
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
citation:
ama: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic
visual statistics shape retina-wide organization of receptive fields. Nature
Neuroscience. 2023;26:606-614. doi:10.1038/s41593-023-01280-0
apa: Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &
Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization
of receptive fields. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-023-01280-0
chicago: Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan
Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide
Organization of Receptive Fields.” Nature Neuroscience. Springer Nature,
2023. https://doi.org/10.1038/s41593-023-01280-0.
ieee: D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A.
Jösch, “Panoramic visual statistics shape retina-wide organization of receptive
fields,” Nature Neuroscience, vol. 26. Springer Nature, pp. 606–614, 2023.
ista: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic
visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience.
26, 606–614.
mla: Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization
of Receptive Fields.” Nature Neuroscience, vol. 26, Springer Nature, 2023,
pp. 606–14, doi:10.1038/s41593-023-01280-0.
short: D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch,
Nature Neuroscience 26 (2023) 606–614.
date_created: 2023-01-23T14:14:19Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2023-10-04T11:41:05Z
day: '01'
ddc:
- '570'
department:
- _id: GradSch
- _id: MaJö
doi: 10.1038/s41593-023-01280-0
ec_funded: 1
external_id:
isi:
- '000955258300002'
pmid:
- '36959418'
file:
- access_level: open_access
checksum: a33d91e398e548f34003170e10988368
content_type: application/pdf
creator: dernst
date_created: 2023-10-04T11:40:51Z
date_updated: 2023-10-04T11:40:51Z
file_id: '14395'
file_name: 2023_NatureNeuroscience_Gupta.pdf
file_size: 6144866
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success: 1
file_date_updated: 2023-10-04T11:40:51Z
has_accepted_license: '1'
intvolume: ' 26'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 606-614
pmid: 1
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
grant_number: P34015
name: Efficient coding with biophysical realism
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '756502'
name: Circuits of Visual Attention
- _id: 266D407A-B435-11E9-9278-68D0E5697425
grant_number: LT000256
name: Neuronal networks of salience and spatial detection in the murine superior
colliculus
- _id: 264FEA02-B435-11E9-9278-68D0E5697425
grant_number: ALTF 1098-2017
name: Connecting sensory with motor processing in the superior colliculus
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '12370'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Panoramic visual statistics shape retina-wide organization of receptive fields
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: '12370'
abstract:
- lang: eng
text: 'Statistics of natural scenes are not uniform - their structure varies dramatically
from ground to sky. It remains unknown whether these non-uniformities are reflected
in the large-scale organization of the early visual system and what benefits such
adaptations would confer. Here, by relying on the efficient coding hypothesis,
we predict that changes in the structure of receptive fields across visual space
increase the efficiency of sensory coding. We show experimentally that, in agreement
with our predictions, receptive fields of retinal ganglion cells change their
shape along the dorsoventral retinal axis, with a marked surround asymmetry at
the visual horizon. Our work demonstrates that, according to principles of efficient
coding, the panoramic structure of natural scenes is exploited by the retina across
space and cell-types. '
acknowledged_ssus:
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- first_name: Anton L
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ama: 'Gupta D, Sumser AL, Jösch MA. Research Data for: Panoramic visual statistics
shape retina-wide organization of receptive fields. 2023. doi:10.15479/AT:ISTA:12370'
apa: 'Gupta, D., Sumser, A. L., & Jösch, M. A. (2023). Research Data for: Panoramic
visual statistics shape retina-wide organization of receptive fields. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12370'
chicago: 'Gupta, Divyansh, Anton L Sumser, and Maximilian A Jösch. “Research Data
for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.”
Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/AT:ISTA:12370.'
ieee: 'D. Gupta, A. L. Sumser, and M. A. Jösch, “Research Data for: Panoramic visual
statistics shape retina-wide organization of receptive fields.” Institute of Science
and Technology Austria, 2023.'
ista: 'Gupta D, Sumser AL, Jösch MA. 2023. Research Data for: Panoramic visual statistics
shape retina-wide organization of receptive fields, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:12370.'
mla: 'Gupta, Divyansh, et al. Research Data for: Panoramic Visual Statistics
Shape Retina-Wide Organization of Receptive Fields. Institute of Science and
Technology Austria, 2023, doi:10.15479/AT:ISTA:12370.'
short: D. Gupta, A.L. Sumser, M.A. Jösch, (2023).
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