Literature DB >> 22841306

Mechanisms of neuronal computation in mammalian visual cortex.

Nicholas J Priebe1, David Ferster.   

Abstract

Orientation selectivity in the primary visual cortex (V1) is a receptive field property that is at once simple enough to make it amenable to experimental and theoretical approaches and yet complex enough to represent a significant transformation in the representation of the visual image. As a result, V1 has become an area of choice for studying cortical computation and its underlying mechanisms. Here we consider the receptive field properties of the simple cells in cat V1--the cells that receive direct input from thalamic relay cells--and explore how these properties, many of which are highly nonlinear, arise. We have found that many receptive field properties of V1 simple cells fall directly out of Hubel and Wiesel's feedforward model when the model incorporates realistic neuronal and synaptic mechanisms, including threshold, synaptic depression, response variability, and the membrane time constant.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22841306      PMCID: PMC3477598          DOI: 10.1016/j.neuron.2012.06.011

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  102 in total

1.  Broadband temporal stimuli decrease the integration time of neurons in cat striate cortex.

Authors:  R C Reid; J D Victor; R M Shapley
Journal:  Vis Neurosci       Date:  1992-07       Impact factor: 3.241

2.  Normalization of cell responses in cat striate cortex.

Authors:  D J Heeger
Journal:  Vis Neurosci       Date:  1992-08       Impact factor: 3.241

3.  Spatial and temporal response properties of lagged and nonlagged cells in cat lateral geniculate nucleus.

Authors:  A B Saul; A L Humphrey
Journal:  J Neurophysiol       Date:  1990-07       Impact factor: 2.714

4.  Selective responses of visual cortical cells do not depend on shunting inhibition.

Authors:  R J Douglas; K A Martin; D Whitteridge
Journal:  Nature       Date:  1988-04-14       Impact factor: 49.962

5.  A functional microcircuit for cat visual cortex.

Authors:  R J Douglas; K A Martin
Journal:  J Physiol       Date:  1991       Impact factor: 5.182

6.  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

7.  Relation of cortical cell orientation selectivity to alignment of receptive fields of the geniculocortical afferents that arborize within a single orientation column in ferret visual cortex.

Authors:  B Chapman; K R Zahs; M P Stryker
Journal:  J Neurosci       Date:  1991-05       Impact factor: 6.167

Review 8.  Normalization as a canonical neural computation.

Authors:  Matteo Carandini; David J Heeger
Journal:  Nat Rev Neurosci       Date:  2011-11-23       Impact factor: 34.870

9.  Fast-spiking interneurons have an initial orientation bias that is lost with vision.

Authors:  Sandra J Kuhlman; Elaine Tring; Joshua T Trachtenberg
Journal:  Nat Neurosci       Date:  2011-07-12       Impact factor: 24.884

10.  Parvalbumin-expressing interneurons linearly transform cortical responses to visual stimuli.

Authors:  Bassam V Atallah; William Bruns; Matteo Carandini; Massimo Scanziani
Journal:  Neuron       Date:  2012-01-12       Impact factor: 17.173

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  86 in total

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Journal:  Curr Opin Neurobiol       Date:  2016-02-08       Impact factor: 6.627

3.  Computing local edge probability in natural scenes from a population of oriented simple cells.

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Review 5.  Two-stage model in perceptual learning: toward a unified theory.

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7.  Cortical state determines global variability and correlations in visual cortex.

Authors:  Marieke L Schölvinck; Aman B Saleem; Andrea Benucci; Kenneth D Harris; Matteo Carandini
Journal:  J Neurosci       Date:  2015-01-07       Impact factor: 6.167

8.  Transcranial direct current stimulation can selectively affect different processing channels in human visual cortex.

Authors:  Thiago L Costa; Russell D Hamer; Balázs V Nagy; Mirella T S Barboni; Mirella Gualtieri; Paulo S Boggio; Dora F Ventura
Journal:  Exp Brain Res       Date:  2015-01-20       Impact factor: 1.972

Review 9.  From functional architecture to functional connectomics.

Authors:  R Clay Reid
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

Review 10.  Development and plasticity of the primary visual cortex.

Authors:  J Sebastian Espinosa; Michael P Stryker
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

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