Literature DB >> 32348717

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

Baowang Li1, Brandy N Routh2, Daniel Johnston2, Eyal Seidemann3, Nicholas J Priebe4.   

Abstract

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.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  intracellular recording; intrinsic conductance; primary visual cortex; response selectivity

Mesh:

Year:  2020        PMID: 32348717      PMCID: PMC9084915          DOI: 10.1016/j.neuron.2020.04.001

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   18.688


  56 in total

1.  Membrane potential and firing rate in cat primary visual cortex.

Authors:  M Carandini; D Ferster
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

2.  Neural noise can explain expansive, power-law nonlinearities in neural response functions.

Authors:  Kenneth D Miller; Todd W Troyer
Journal:  J Neurophysiol       Date:  2002-02       Impact factor: 2.714

3.  Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons.

Authors:  James R Cavanaugh; Wyeth Bair; J Anthony Movshon
Journal:  J Neurophysiol       Date:  2002-11       Impact factor: 2.714

4.  How noise contributes to contrast invariance of orientation tuning in cat visual cortex.

Authors:  D Hansel; C van Vreeswijk
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

Review 5.  The high-conductance state of neocortical neurons in vivo.

Authors:  Alain Destexhe; Michael Rudolph; Denis Paré
Journal:  Nat Rev Neurosci       Date:  2003-09       Impact factor: 34.870

6.  Perforated patch-clamp analysis of the passive membrane properties of three classes of hippocampal neurons.

Authors:  N Spruston; D Johnston
Journal:  J Neurophysiol       Date:  1992-03       Impact factor: 2.714

7.  In vitro and in vivo measures of evoked excitatory and inhibitory conductance dynamics in sensory cortices.

Authors:  C Monier; J Fournier; Y Frégnac
Journal:  J Neurosci Methods       Date:  2007-11-22       Impact factor: 2.390

8.  Orientation selectivity of synaptic input to neurons in mouse and cat primary visual cortex.

Authors:  Andrew Y Y Tan; Brandon D Brown; Benjamin Scholl; Deepankar Mohanty; Nicholas J Priebe
Journal:  J Neurosci       Date:  2011-08-24       Impact factor: 6.167

9.  Synaptic Mechanisms of Feature Coding in the Visual Cortex of Awake Mice.

Authors:  Hillel Adesnik
Journal:  Neuron       Date:  2017-08-30       Impact factor: 17.173

10.  Inhibitory stabilization of the cortical network underlies visual surround suppression.

Authors:  Hirofumi Ozeki; Ian M Finn; Evan S Schaffer; Kenneth D Miller; David Ferster
Journal:  Neuron       Date:  2009-05-28       Impact factor: 17.173

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  4 in total

Review 1.  Probing mechanisms of visual spatial attention in mice.

Authors:  Anderson Speed; Bilal Haider
Journal:  Trends Neurosci       Date:  2021-08-23       Impact factor: 16.978

2.  A recurrent circuit implements normalization, simulating the dynamics of V1 activity.

Authors:  David J Heeger; Klavdia O Zemlianova
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-25       Impact factor: 11.205

3.  Intrinsic excitability mechanisms of neuronal ensemble formation.

Authors:  Tzitzitlini Alejandre-García; Samuel Kim; Jesús Pérez-Ortega; Rafael Yuste
Journal:  Elife       Date:  2022-05-04       Impact factor: 8.713

4.  Emergence of Irregular Activity in Networks of Strongly Coupled Conductance-Based Neurons.

Authors:  A Sanzeni; M H Histed; N Brunel
Journal:  Phys Rev X       Date:  2022-03-08       Impact factor: 14.417

  4 in total

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