Voltage-Gated Intrinsic Conductances Shape the Input-Output Relationship of Cortical Neurons in Behaving Primate V1.

Action Potentials / physiology Animals Behavior, Animal / physiology Macaca mulatta Mice Mice, Inbred C57BL Models, Neurological Neurons / physiology Visual Cortex / physiology
intracellular recording intrinsic conductance primary visual cortex response selectivity

Journal

Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320

Informations de publication

Date de publication:
08 07 2020
Historique:
received: 05 06 2019
revised: 02 01 2020
accepted: 31 03 2020
pubmed: 30 4 2020
medline: 9 10 2020
entrez: 30 4 2020
Statut: ppublish

Résumé

Neurons are input-output (I/O) devices-they receive synaptic inputs from other neurons, integrate those inputs with their intrinsic properties, and generate action potentials as outputs. To understand this fundamental process, we studied the interaction between synaptic inputs and intrinsic properties using whole-cell recordings from V1 neurons of awake, fixating macaque monkeys. Our measurements during spontaneous activity and visual stimulation reveal an intrinsic voltage-gated conductance that profoundly alters the integrative properties and visual responses of cortical neurons. This voltage-gated conductance increases neuronal gain and selectivity with subthreshold depolarization and linearizes the relationship between synaptic input and neural output. This intrinsic conductance is found in layer 2/3 V1 neurons of awake macaques, anesthetized mice, and acute brain slices. These results demonstrate that intrinsic conductances play an essential role in shaping the I/O relationship of cortical neurons and must be taken into account in future models of cortical computations.

Identifiants

DOI: 10.1016/j.neuron.2020.04.001 PMID: 32348717 PMC: PMC9084915
pubmed: 32348717
pii: S0896-6273(20)30244-0
doi: 10.1016/j.neuron.2020.04.001
pmc: PMC9084915
mid: NIHMS1584968
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

185-196.e4

Subventions

Organisme : NEI NIH HHS
ID : R01 EY024071
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Interests The authors declare no competing interests.

Références

J Neurosci. 2000 Jan 1;20(1):470-84
pubmed: 10627623
J Neurophysiol. 1992 Mar;67(3):508-29
pubmed: 1578242
J Neurosci. 2002 Jun 15;22(12):5118-28
pubmed: 12077207
Nat Rev Neurosci. 2003 Sep;4(9):739-51
pubmed: 12951566
Neuron. 2017 Aug 30;95(5):1147-1159.e4
pubmed: 28858618
Neuron. 2009 May 28;62(4):578-92
pubmed: 19477158
J Neurosci Methods. 2008 Apr 30;169(2):323-65
pubmed: 18215425
J Neurosci. 2011 Aug 24;31(34):12339-50
pubmed: 21865476
J Neurophysiol. 2002 Nov;88(5):2530-46
pubmed: 12424292
J Neurophysiol. 2002 Feb;87(2):653-9
pubmed: 11826034
Nature. 1997 May 1;387(6628):73-6
pubmed: 9139823
Cell Rep. 2018 Apr 24;23(4):1034-1044
pubmed: 29694883
Nature. 2014 May 8;509(7499):226-9
pubmed: 24695217
J Neurophysiol. 1992 Apr;67(4):961-80
pubmed: 1588394
Nat Neurosci. 2010 May;13(5):601-9
pubmed: 20364143
J Neurophysiol. 2000 Aug;84(2):909-26
pubmed: 10938316
J Physiol. 2002 Dec 15;545(3):783-805
pubmed: 12482886
J Neurosci. 1998 May 15;18(10):3501-10
pubmed: 9570781
J Neurophysiol. 2004 Jul;92(1):630-43
pubmed: 14999047
Nat Neurosci. 1999 Sep;2(9):848
pubmed: 10461231
J Physiol. 1962 Jan;160:106-54
pubmed: 14449617
J Neurosci. 2000 Nov 15;20(22):8493-503
pubmed: 11069957
Neuron. 2005 Feb 17;45(4):575-85
pubmed: 15721243
J Physiol. 1951 Nov 28;115(3):320-70
pubmed: 14898516
J Physiol. 1966 Mar;183(2):287-304
pubmed: 5942815
J Neurophysiol. 2002 Sep;88(3):1363-73
pubmed: 12205157
J Neurophysiol. 1998 Dec;80(6):2882-92
pubmed: 9862892
J Neurophysiol. 2002 Nov;88(5):2547-56
pubmed: 12424293
Science. 2016 Dec 23;354(6319):1587-1590
pubmed: 28008068
Neuroscience. 2009 Nov 10;163(4):1302-15
pubmed: 19628023
Science. 2000 Dec 8;290(5498):1968-72
pubmed: 11110664
Neural Comput. 1997 Jul 1;9(5):971-83
pubmed: 9188190
J Neurophysiol. 1993 Nov;70(5):1885-98
pubmed: 8294961
Neuron. 2007 Dec 20;56(6):1061-75
pubmed: 18093527
Neuron. 2012 Jul 26;75(2):194-208
pubmed: 22841306
J Neurophysiol. 1998 Mar;79(3):1450-60
pubmed: 9497424
J Physiol. 2017 Jul 1;595(13):4431-4448
pubmed: 28370141
J Neurosci. 1997 Jun 15;17(12):4517-26
pubmed: 9169512
Neuron. 2003 Feb 20;37(4):663-80
pubmed: 12597863
Nature. 2013 Nov 7;503(7474):115-20
pubmed: 24162850
PLoS Comput Biol. 2015 Apr 24;11(4):e1004188
pubmed: 25909971
J Neurophysiol. 2007 Aug;98(2):1002-14
pubmed: 17522170
Neuron. 2010 Jan 14;65(1):107-21
pubmed: 20152117
Nat Neurosci. 2016 Apr;19(4):568-70
pubmed: 26878671
J Neurosci. 2001 Jun 1;21(11):4002-15
pubmed: 11356887
Pflugers Arch. 2002 Jul;444(4):491-8
pubmed: 12136268
J Neurosci Methods. 1991 Mar;37(1):15-26
pubmed: 2072734
J Neurosci. 1996 Apr 1;16(7):2397-410
pubmed: 8601819
J Neurosci. 1995 Jun;15(6):4449-63
pubmed: 7790919
J Neurosci. 2006 May 3;26(18):4826-34
pubmed: 16672656
Neuron. 2008 Feb 28;57(4):482-97
pubmed: 18304479
J Neurosci. 1998 Aug 1;18(15):5908-27
pubmed: 9671678
J Neurosci. 2006 Aug 9;26(32):8267-77
pubmed: 16899721
Annu Rev Neurosci. 2000;23:441-71
pubmed: 10845071
Proc R Soc Lond B Biol Sci. 1977 Jul 28;198(1130):1-59
pubmed: 20635
J Neurosci. 2006 Apr 26;26(17):4535-45
pubmed: 16641233

Auteurs

Baowang Li (B)

Center for Perceptual Systems, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Center for Learning and Memory, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Department of Psychology, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA.

Brandy N Routh (BN)

Center for Learning and Memory, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA.

Daniel Johnston (D)

Center for Learning and Memory, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA.

Eyal Seidemann (E)

Center for Perceptual Systems, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Department of Psychology, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA. Electronic address: eyal@austin.utexas.edu.

Nicholas J Priebe (NJ)

Center for Learning and Memory, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA. Electronic address: nicholas@mail.utexas.edu.

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Classifications MeSH

questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système nerveux › Potentiels de membrane › Potentiels d'action › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Eucaryotes › Animaux › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Comportement › Comportement animal › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Cercopithecidae › Cercopithecinae › Macaca › Macaca mulatta › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Rodentia › Muridae › Murinae › Souris › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Rodentia › Muridae › Murinae › Souris › Lignées consanguines de souris › Souris de lignée C57BL › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Techniques d'investigation › Modèles théoriques › Modèles biologiques › Modèles neurologiques › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Cellules › Neurones › Voltage-Gated Intrinsic Conductances Shape the...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Prosencéphale › Télencéphale › Cerveau › Cortex cérébral › Cortex sensorimoteur › Cortex visuel › Voltage-Gated Intrinsic Conductances Shape the...