---
_id: '7405'
abstract:
- lang: eng
text: Biophysical modeling of neuronal networks helps to integrate and interpret
rapidly growing and disparate experimental datasets at multiple scales. The NetPyNE
tool (www.netpyne.org) provides both programmatic and graphical interfaces to
develop data-driven multiscale network models in NEURON. NetPyNE clearly separates
model parameters from implementation code. Users provide specifications at a high
level via a standardized declarative language, for example connectivity rules,
to create millions of cell-to-cell connections. NetPyNE then enables users to
generate the NEURON network, run efficiently parallelized simulations, optimize
and explore network parameters through automated batch runs, and use built-in
functions for visualization and analysis – connectivity matrices, voltage traces,
spike raster plots, local field potentials, and information theoretic measures.
NetPyNE also facilitates model sharing by exporting and importing standardized
formats (NeuroML and SONATA). NetPyNE is already being used to teach computational
neuroscience students and by modelers to investigate brain regions and phenomena.
article_number: e44494
article_processing_charge: No
article_type: original
author:
- first_name: Salvador
full_name: Dura-Bernal, Salvador
last_name: Dura-Bernal
- first_name: Benjamin
full_name: Suter, Benjamin
id: 4952F31E-F248-11E8-B48F-1D18A9856A87
last_name: Suter
orcid: 0000-0002-9885-6936
- first_name: Padraig
full_name: Gleeson, Padraig
last_name: Gleeson
- first_name: Matteo
full_name: Cantarelli, Matteo
last_name: Cantarelli
- first_name: Adrian
full_name: Quintana, Adrian
last_name: Quintana
- first_name: Facundo
full_name: Rodriguez, Facundo
last_name: Rodriguez
- first_name: David J
full_name: Kedziora, David J
last_name: Kedziora
- first_name: George L
full_name: Chadderdon, George L
last_name: Chadderdon
- first_name: Cliff C
full_name: Kerr, Cliff C
last_name: Kerr
- first_name: Samuel A
full_name: Neymotin, Samuel A
last_name: Neymotin
- first_name: Robert A
full_name: McDougal, Robert A
last_name: McDougal
- first_name: Michael
full_name: Hines, Michael
last_name: Hines
- first_name: Gordon MG
full_name: Shepherd, Gordon MG
last_name: Shepherd
- first_name: William W
full_name: Lytton, William W
last_name: Lytton
citation:
ama: Dura-Bernal S, Suter B, Gleeson P, et al. NetPyNE, a tool for data-driven multiscale
modeling of brain circuits. eLife. 2019;8. doi:10.7554/elife.44494
apa: Dura-Bernal, S., Suter, B., Gleeson, P., Cantarelli, M., Quintana, A., Rodriguez,
F., … Lytton, W. W. (2019). NetPyNE, a tool for data-driven multiscale modeling
of brain circuits. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.44494
chicago: Dura-Bernal, Salvador, Benjamin Suter, Padraig Gleeson, Matteo Cantarelli,
Adrian Quintana, Facundo Rodriguez, David J Kedziora, et al. “NetPyNE, a Tool
for Data-Driven Multiscale Modeling of Brain Circuits.” ELife. eLife Sciences
Publications, 2019. https://doi.org/10.7554/elife.44494.
ieee: S. Dura-Bernal et al., “NetPyNE, a tool for data-driven multiscale
modeling of brain circuits,” eLife, vol. 8. eLife Sciences Publications,
2019.
ista: Dura-Bernal S, Suter B, Gleeson P, Cantarelli M, Quintana A, Rodriguez F,
Kedziora DJ, Chadderdon GL, Kerr CC, Neymotin SA, McDougal RA, Hines M, Shepherd
GM, Lytton WW. 2019. NetPyNE, a tool for data-driven multiscale modeling of brain
circuits. eLife. 8, e44494.
mla: Dura-Bernal, Salvador, et al. “NetPyNE, a Tool for Data-Driven Multiscale Modeling
of Brain Circuits.” ELife, vol. 8, e44494, eLife Sciences Publications,
2019, doi:10.7554/elife.44494.
short: S. Dura-Bernal, B. Suter, P. Gleeson, M. Cantarelli, A. Quintana, F. Rodriguez,
D.J. Kedziora, G.L. Chadderdon, C.C. Kerr, S.A. Neymotin, R.A. McDougal, M. Hines,
G.M. Shepherd, W.W. Lytton, ELife 8 (2019).
date_created: 2020-01-30T09:08:01Z
date_published: 2019-05-31T00:00:00Z
date_updated: 2023-09-07T14:27:52Z
day: '31'
ddc:
- '570'
department:
- _id: PeJo
doi: 10.7554/elife.44494
external_id:
isi:
- '000468968400001'
pmid:
- '31025934'
file:
- access_level: open_access
checksum: 7014189c11c10a12feeeae37f054871d
content_type: application/pdf
creator: dernst
date_created: 2020-02-04T08:41:47Z
date_updated: 2020-07-14T12:47:57Z
file_id: '7444'
file_name: 2019_eLife_DuraBernal.pdf
file_size: 6182359
relation: main_file
file_date_updated: 2020-07-14T12:47:57Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
publication: eLife
publication_identifier:
issn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: NetPyNE, a tool for data-driven multiscale modeling of brain circuits
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2019'
...
---
_id: '11222'
acknowledgement: This work was supported by the ERC and EU Horizon 2020 (ERC 692692;
MSC-IF 708497) and FWF Z 312-B27 Wittgenstein award; W 1205-B09).
article_number: A3.27
article_processing_charge: No
author:
- first_name: Olena
full_name: Kim, Olena
id: 3F8ABDDA-F248-11E8-B48F-1D18A9856A87
last_name: Kim
- first_name: Carolina
full_name: Borges Merjane, Carolina
id: 4305C450-F248-11E8-B48F-1D18A9856A87
last_name: Borges Merjane
orcid: 0000-0003-0005-401X
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: 'Kim O, Borges Merjane C, Jonas PM. Functional analysis of the docked vesicle
pool in hippocampal mossy fiber terminals by electron microscopy. In: Intrinsic
Activity. Vol 7. Austrian Pharmacological Society; 2019. doi:10.25006/ia.7.s1-a3.27'
apa: 'Kim, O., Borges Merjane, C., & Jonas, P. M. (2019). Functional analysis
of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy.
In Intrinsic Activity (Vol. 7). Innsbruck, Austria: Austrian Pharmacological
Society. https://doi.org/10.25006/ia.7.s1-a3.27'
chicago: Kim, Olena, Carolina Borges Merjane, and Peter M Jonas. “Functional Analysis
of the Docked Vesicle Pool in Hippocampal Mossy Fiber Terminals by Electron Microscopy.”
In Intrinsic Activity, Vol. 7. Austrian Pharmacological Society, 2019.
https://doi.org/10.25006/ia.7.s1-a3.27.
ieee: O. Kim, C. Borges Merjane, and P. M. Jonas, “Functional analysis of the docked
vesicle pool in hippocampal mossy fiber terminals by electron microscopy,” in
Intrinsic Activity, Innsbruck, Austria, 2019, vol. 7, no. Suppl. 1.
ista: 'Kim O, Borges Merjane C, Jonas PM. 2019. Functional analysis of the docked
vesicle pool in hippocampal mossy fiber terminals by electron microscopy. Intrinsic
Activity. ANA: Austrian Neuroscience Association ; APHAR: Austrian Pharmacological
Society vol. 7, A3.27.'
mla: Kim, Olena, et al. “Functional Analysis of the Docked Vesicle Pool in Hippocampal
Mossy Fiber Terminals by Electron Microscopy.” Intrinsic Activity, vol.
7, no. Suppl. 1, A3.27, Austrian Pharmacological Society, 2019, doi:10.25006/ia.7.s1-a3.27.
short: O. Kim, C. Borges Merjane, P.M. Jonas, in:, Intrinsic Activity, Austrian
Pharmacological Society, 2019.
conference:
end_date: 2019-09-27
location: Innsbruck, Austria
name: 'ANA: Austrian Neuroscience Association ; APHAR: Austrian Pharmacological
Society'
start_date: 2019-09-25
date_created: 2022-04-20T15:06:05Z
date_published: 2019-09-11T00:00:00Z
date_updated: 2024-03-27T23:30:07Z
day: '11'
department:
- _id: PeJo
doi: 10.25006/ia.7.s1-a3.27
ec_funded: 1
intvolume: ' 7'
issue: Suppl. 1
keyword:
- hippocampus
- mossy fibers
- readily releasable pool
- electron microscopy
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.intrinsicactivity.org/2019/7/S1/A3.27/
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 25BAF7B2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '708497'
name: Presynaptic calcium channels distribution and impact on coupling at the hippocampal
mossy fiber synapse
- _id: 25C3DBB6-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W01205
name: Zellkommunikation in Gesundheit und Krankheit
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
publication: Intrinsic Activity
publication_identifier:
issn:
- 2309-8503
publication_status: published
publisher: Austrian Pharmacological Society
quality_controlled: '1'
related_material:
record:
- id: '11196'
relation: dissertation_contains
status: public
status: public
title: Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals
by electron microscopy
type: conference_abstract
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 7
year: '2019'
...
---
_id: '6363'
abstract:
- lang: eng
text: "Distinguishing between similar experiences is achieved by the brain
\ in a process called pattern separation. In the hippocampus, pattern
\ separation reduces the interference of memories and increases the storage
capacity by decorrelating similar inputs patterns of neuronal activity into
\ non-overlapping output firing patterns. Winners-take-all (WTA) mechanism
\ is a theoretical model for pattern separation in which a \"winner\"
\ cell suppresses the activity of the neighboring neurons through feedback
inhibition. However, if the network properties of the dentate gyrus support WTA
as a biologically conceivable model remains unknown. Here, we showed that the
connectivity rules of PV+interneurons and their synaptic properties are optimizedfor
efficient pattern separation. We found using multiple whole-cell in vitrorecordings
that PV+interneurons mainly connect to granule cells (GC) through lateral inhibition,
a form of feedback inhibition in which a GC inhibits other GCs but not
\ itself through the activation of PV+interneurons. Thus, lateral inhibition
between GC–PV+interneurons was ~10 times more abundant than recurrent connections.
Furthermore, the GC–PV+interneuron connectivity was more spatially confined
\ but less abundant than PV+interneurons–GC connectivity, leading to an
\ asymmetrical distribution of excitatory and inhibitory connectivity. Our
network model of the dentate gyrus with incorporated real connectivity rules efficiently
decorrelates neuronal activity patterns using WTA as the primary mechanism.
\ This process relied on lateral inhibition, fast-signaling properties of
\ PV+interneurons and the asymmetrical distribution of excitatory and inhibitory
connectivity. Finally, we found that silencing the activity of PV+interneurons
in vivoleads to acute deficits in discrimination between similar environments,
suggesting that PV+interneuron networks are necessary for behavioral relevant
computations. Our results demonstrate that PV+interneurons possess unique
connectivity and fast signaling properties that confer to the dentate
\ gyrus network properties that allow the emergence of pattern separation. Thus,
our results contribute to the knowledge of how specific forms of network organization
underlie sophisticated types of information processing. \r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: 'Claudia '
full_name: 'Espinoza Martinez, Claudia '
id: 31FFEE2E-F248-11E8-B48F-1D18A9856A87
last_name: Espinoza Martinez
orcid: 0000-0003-4710-2082
citation:
ama: Espinoza Martinez C. Parvalbumin+ interneurons enable efficient pattern separation
in hippocampal microcircuits. 2019. doi:10.15479/AT:ISTA:6363
apa: Espinoza Martinez, C. (2019). Parvalbumin+ interneurons enable efficient
pattern separation in hippocampal microcircuits. Institute of Science and
Technology Austria. https://doi.org/10.15479/AT:ISTA:6363
chicago: Espinoza Martinez, Claudia . “Parvalbumin+ Interneurons Enable Efficient
Pattern Separation in Hippocampal Microcircuits.” Institute of Science and Technology
Austria, 2019. https://doi.org/10.15479/AT:ISTA:6363.
ieee: C. Espinoza Martinez, “Parvalbumin+ interneurons enable efficient pattern
separation in hippocampal microcircuits,” Institute of Science and Technology
Austria, 2019.
ista: Espinoza Martinez C. 2019. Parvalbumin+ interneurons enable efficient pattern
separation in hippocampal microcircuits. Institute of Science and Technology Austria.
mla: Espinoza Martinez, Claudia. Parvalbumin+ Interneurons Enable Efficient Pattern
Separation in Hippocampal Microcircuits. Institute of Science and Technology
Austria, 2019, doi:10.15479/AT:ISTA:6363.
short: C. Espinoza Martinez, Parvalbumin+ Interneurons Enable Efficient Pattern
Separation in Hippocampal Microcircuits, Institute of Science and Technology Austria,
2019.
date_created: 2019-04-30T11:56:10Z
date_published: 2019-04-30T00:00:00Z
date_updated: 2023-09-15T12:03:48Z
day: '30'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: PeJo
doi: 10.15479/AT:ISTA:6363
file:
- access_level: open_access
checksum: 77c6c05cfe8b58c8abcf1b854375d084
content_type: application/pdf
creator: cespinoza
date_created: 2019-05-07T16:00:39Z
date_updated: 2021-02-11T11:17:15Z
embargo: 2020-05-09
file_id: '6389'
file_name: Espinozathesis_all2.pdf
file_size: 13966891
relation: main_file
- access_level: closed
checksum: f6aa819f127691a2b0fc21c76eb09746
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: cespinoza
date_created: 2019-05-07T16:00:48Z
date_updated: 2020-07-14T12:47:28Z
embargo_to: open_access
file_id: '6390'
file_name: Espinoza_Thesis.docx
file_size: 11159900
relation: source_file
file_date_updated: 2021-02-11T11:17:15Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '140'
publication_identifier:
isbn:
- 978-3-99078-000-8
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '21'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
title: Parvalbumin+ interneurons enable efficient pattern separation in hippocampal
microcircuits
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '320'
abstract:
- lang: eng
text: 'Fast-spiking, parvalbumin-expressing GABAergic interneurons (PV+-BCs) express
a complex machinery of rapid signaling mechanisms, including specialized voltage-gated
ion channels to generate brief action potentials (APs). However, short APs are
associated with overlapping Na+ and K+ fluxes and are therefore energetically
expensive. How the potentially vicious combination of high AP frequency and inefficient
spike generation can be reconciled with limited energy supply is presently unclear.
To address this question, we performed direct recordings from the PV+-BC axon,
the subcellular structure where active conductances for AP initiation and propagation
are located. Surprisingly, the energy required for the AP was, on average, only
∼1.6 times the theoretical minimum. High energy efficiency emerged from the combination
of fast inactivation of Na+ channels and delayed activation of Kv3-type K+ channels,
which minimized ion flux overlap during APs. Thus, the complementary tuning of
axonal Na+ and K+ channel gating optimizes both fast signaling properties and
metabolic efficiency. Hu et al. demonstrate that action potentials in parvalbumin-expressing
GABAergic interneuron axons are energetically efficient, which is highly unexpected
given their brief duration. High energy efficiency emerges from the combination
of fast inactivation of voltage-gated Na+ channels and delayed activation of Kv3
channels in the axon. '
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Hua
full_name: Hu, Hua
id: 4AC0145C-F248-11E8-B48F-1D18A9856A87
last_name: Hu
- first_name: Fabian
full_name: Roth, Fabian
last_name: Roth
- first_name: David H
full_name: Vandael, David H
id: 3AE48E0A-F248-11E8-B48F-1D18A9856A87
last_name: Vandael
orcid: 0000-0001-7577-1676
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Hu H, Roth F, Vandael DH, Jonas PM. Complementary tuning of Na+ and K+ channel
gating underlies fast and energy-efficient action potentials in GABAergic interneuron
axons. Neuron. 2018;98(1):156-165. doi:10.1016/j.neuron.2018.02.024
apa: Hu, H., Roth, F., Vandael, D. H., & Jonas, P. M. (2018). Complementary
tuning of Na+ and K+ channel gating underlies fast and energy-efficient action
potentials in GABAergic interneuron axons. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2018.02.024
chicago: Hu, Hua, Fabian Roth, David H Vandael, and Peter M Jonas. “Complementary
Tuning of Na+ and K+ Channel Gating Underlies Fast and Energy-Efficient Action
Potentials in GABAergic Interneuron Axons.” Neuron. Elsevier, 2018. https://doi.org/10.1016/j.neuron.2018.02.024.
ieee: H. Hu, F. Roth, D. H. Vandael, and P. M. Jonas, “Complementary tuning of Na+
and K+ channel gating underlies fast and energy-efficient action potentials in
GABAergic interneuron axons,” Neuron, vol. 98, no. 1. Elsevier, pp. 156–165,
2018.
ista: Hu H, Roth F, Vandael DH, Jonas PM. 2018. Complementary tuning of Na+ and
K+ channel gating underlies fast and energy-efficient action potentials in GABAergic
interneuron axons. Neuron. 98(1), 156–165.
mla: Hu, Hua, et al. “Complementary Tuning of Na+ and K+ Channel Gating Underlies
Fast and Energy-Efficient Action Potentials in GABAergic Interneuron Axons.” Neuron,
vol. 98, no. 1, Elsevier, 2018, pp. 156–65, doi:10.1016/j.neuron.2018.02.024.
short: H. Hu, F. Roth, D.H. Vandael, P.M. Jonas, Neuron 98 (2018) 156–165.
date_created: 2018-12-11T11:45:48Z
date_published: 2018-04-04T00:00:00Z
date_updated: 2023-09-11T12:45:10Z
day: '04'
ddc:
- '570'
department:
- _id: PeJo
doi: 10.1016/j.neuron.2018.02.024
ec_funded: 1
external_id:
isi:
- '000429192100016'
file:
- access_level: open_access
checksum: 76070f3729f9c603e1080d0151aa2b11
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T10:37:50Z
date_updated: 2020-07-14T12:46:03Z
file_id: '5690'
file_name: 2018_Neuron_Hu.pdf
file_size: 3180444
relation: main_file
file_date_updated: 2020-07-14T12:46:03Z
has_accepted_license: '1'
intvolume: ' 98'
isi: 1
issue: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 156 - 165
project:
- _id: 25C0F108-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '268548'
name: Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 25C26B1E-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P24909-B24
name: Mechanisms of transmitter release at GABAergic synapses
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
publication: Neuron
publication_status: published
publisher: Elsevier
publist_id: '7545'
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/a-certain-type-of-neurons-is-more-energy-efficient-than-previously-assumed/
scopus_import: '1'
status: public
title: Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient
action potentials in GABAergic interneuron axons
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 98
year: '2018'
...
---
_id: '324'
abstract:
- lang: eng
text: Neuronal networks in the brain consist of two main types of neuron, glutamatergic
principal neurons and GABAergic interneurons. Although these interneurons only
represent 10–20% of the whole population, they mediate feedback and feedforward
inhibition and are involved in the generation of high-frequency network oscillations.
A hallmark functional property of GABAergic interneurons, especially of the parvalbumin‑expressing
(PV+) subtypes, is the speed of signaling at their output synapse across species
and brain regions. Several molecular and subcellular factors may underlie the
submillisecond signaling at GABAergic synapses. Such as the selective use of P/Q
type Ca2+ channels and the tight coupling between Ca2+ channels and Ca2+ sensors
of exocytosis. However, whether the molecular identity of the release sensor contributes
to these signaling properties remains unclear. Besides, these interneurons are
mainly show depression in response to train of stimuli. How could they keep sufficient
release to control the activity of postsynaptic principal neurons during high
network activity, is largely elusive. For my Ph.D. work, we firstly examined the
Ca2+ sensor of exocytosis at the GABAergic basket cell (BC) to Purkinje cell (PC)
synapse in the cerebellum. Immunolabeling suggested that BC terminals selectively
expressed synaptotagmin 2 (Syt2), whereas synaptotagmin 1 (Syt1) was enriched
in excitatory terminals. Genetic elimination of Syt2 reduced action potential-evoked
release to ~10% compared to the wild-type control, identifying Syt2 as the major
Ca2+ sensor at BC‑PC synapses. Differential adenovirus-mediated rescue revealed
Syt2 triggered release with shorter latency and higher temporal precision, and
mediated faster vesicle pool replenishment than Syt1. Furthermore, deletion of
Syt2 severely reduced and delayed disynaptic inhibition following parallel fiber
stimulation. Thus, the selective use of Syt2 as the release sensor at BC–PC synapse
ensures fast feedforward inhibition in cerebellar microcircuits. Additionally,
we tested the function of another synaptotagmin member, Syt7, for inhibitory synaptic
transmission at the BC–PC synapse. Syt7 is thought to be a Ca2+ sensor that mediates
asynchronous transmitter release and facilitation at synapses. However, it is
strongly expressed in fast-spiking, PV+ GABAergic interneurons and the output
synapses of these neurons produce only minimal asynchronous release and show depression
rather than facilitation. How could Syt7, a facilitation sensor, contribute to
the depressed inhibitory synaptic transmission needs to be further investigated
and understood. Our results indicated that at the BC–PC synapse, Syt7 contributes
to asynchronous release, pool replenishment and facilitation. In combination,
these three effects ensure efficient transmitter release during high‑frequency
activity and guarantee frequency independence of inhibition. Taken together, our
results confirmed that Syt2, which has the fastest kinetic properties among all
synaptotagmin members, is mainly used by the inhibitory BC‑PC synapse for synaptic
transmission, contributing to the speed and temporal precision of transmitter
release. Furthermore, we showed that Syt7, another highly expressed synaptotagmin
member in the output synapses of cerebellar BCs, is used for ensuring efficient
inhibitor synaptic transmission during high activity.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Chong
full_name: Chen, Chong
id: 3DFD581A-F248-11E8-B48F-1D18A9856A87
last_name: Chen
citation:
ama: Chen C. Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter
release. 2018. doi:10.15479/AT:ISTA:th_997
apa: Chen, C. (2018). Synaptotagmins ensure speed and efficiency of inhibitory
neurotransmitter release. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_997
chicago: Chen, Chong. “Synaptotagmins Ensure Speed and Efficiency of Inhibitory
Neurotransmitter Release.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:th_997.
ieee: C. Chen, “Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter
release,” Institute of Science and Technology Austria, 2018.
ista: Chen C. 2018. Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter
release. Institute of Science and Technology Austria.
mla: Chen, Chong. Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter
Release. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_997.
short: C. Chen, Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter
Release, Institute of Science and Technology Austria, 2018.
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title: Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release
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