Literature DB >> 21835349

Broad inhibition sharpens orientation selectivity by expanding input dynamic range in mouse simple cells.

Bao-hua Liu1, Ya-tang Li, Wen-pei Ma, Chen-jie Pan, Li I Zhang, Huizhong Whit Tao.   

Abstract

Orientation selectivity (OS) is an emergent property in the primary visual cortex (V1). How OS arises from synaptic circuits remains unsolved. Here, in vivo whole-cell recordings in the mouse V1 revealed that simple cells received broadly tuned excitation and even more broadly tuned inhibition. Excitation and inhibition shared a similar orientation preference and temporally overlapped substantially. Neuron modeling and dynamic-clamp recording further revealed that excitatory inputs alone would result in membrane potential responses with significantly attenuated selectivity, due to a saturating input-output function of the membrane filtering. Inhibition ameliorated the attenuation of excitatory selectivity by expanding the input dynamic range and caused additional sharpening of output responses beyond unselectively suppressing responses at all orientations. This "blur-sharpening" effect allows selectivity conveyed by excitatory inputs to be better expressed, which may be a general mechanism underlying the generation of feature-selective responses in the face of strong excitatory inputs that are weakly biased.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21835349      PMCID: PMC3154747          DOI: 10.1016/j.neuron.2011.06.017

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


  65 in total

1.  A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Calpha.

Authors:  D McLaughlin; R Shapley; M Shelley; D J Wielaard
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

2.  Orientation tuning of input conductance, excitation, and inhibition in cat primary visual cortex.

Authors:  J S Anderson; M Carandini; D Ferster
Journal:  J Neurophysiol       Date:  2000-08       Impact factor: 2.714

3.  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

4.  Prediction of orientation selectivity from receptive field architecture in simple cells of cat visual cortex.

Authors:  I Lampl; J S Anderson; D C Gillespie; D Ferster
Journal:  Neuron       Date:  2001-04       Impact factor: 17.173

5.  Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning.

Authors:  Cyril Monier; Frédéric Chavane; Pierre Baudot; Lyle J Graham; Yves Frégnac
Journal:  Neuron       Date:  2003-02-20       Impact factor: 17.173

6.  Synaptic integration by V1 neurons depends on location within the orientation map.

Authors:  James Schummers; Jorge Mariño; Mriganka Sur
Journal:  Neuron       Date:  2002-12-05       Impact factor: 17.173

7.  Gain modulation from background synaptic input.

Authors:  Frances S Chance; L F Abbott; Alex D Reyes
Journal:  Neuron       Date:  2002-08-15       Impact factor: 17.173

8.  Shunting inhibition modulates neuronal gain during synaptic excitation.

Authors:  Simon J Mitchell; R Angus Silver
Journal:  Neuron       Date:  2003-05-08       Impact factor: 17.173

9.  Gain control of firing rate by shunting inhibition: roles of synaptic noise and dendritic saturation.

Authors:  Steven A Prescott; Yves De Koninck
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-04       Impact factor: 11.205

Review 10.  Dynamics of orientation selectivity in the primary visual cortex and the importance of cortical inhibition.

Authors:  Robert Shapley; Michael Hawken; Dario L Ringach
Journal:  Neuron       Date:  2003-06-05       Impact factor: 17.173

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  85 in total

1.  Cortical inhibition reduces information redundancy at presentation of communication sounds in the primary auditory cortex.

Authors:  Quentin Gaucher; Chloé Huetz; Boris Gourévitch; Jean-Marc Edeline
Journal:  J Neurosci       Date:  2013-06-26       Impact factor: 6.167

Review 2.  Canonical computations of cerebral cortex.

Authors:  Kenneth D Miller
Journal:  Curr Opin Neurobiol       Date:  2016-02-08       Impact factor: 6.627

3.  Layer 4 in primary visual cortex of the awake rabbit: contrasting properties of simple cells and putative feedforward inhibitory interneurons.

Authors:  Jun Zhuang; Carl R Stoelzel; Yulia Bereshpolova; Joseph M Huff; Xiaojuan Hei; Jose-Manuel Alonso; Harvey A Swadlow
Journal:  J Neurosci       Date:  2013-07-10       Impact factor: 6.167

Review 4.  Cortical connectivity and sensory coding.

Authors:  Kenneth D Harris; Thomas D Mrsic-Flogel
Journal:  Nature       Date:  2013-11-07       Impact factor: 49.962

5.  Strengthening of Direction Selectivity by Broadly Tuned and Spatiotemporally Slightly Offset Inhibition in Mouse Visual Cortex.

Authors:  Ya-Tang Li; Bao-Hua Liu; Xiao-Lin Chou; Li I Zhang; Huizhong Whit Tao
Journal:  Cereb Cortex       Date:  2014-03-20       Impact factor: 5.357

6.  Division and subtraction by distinct cortical inhibitory networks in vivo.

Authors:  Nathan R Wilson; Caroline A Runyan; Forea L Wang; Mriganka Sur
Journal:  Nature       Date:  2012-08-16       Impact factor: 49.962

7.  Patterned perturbation of inhibition can reveal the dynamical structure of neural processing.

Authors:  Sadra Sadeh; Claudia Clopath
Journal:  Elife       Date:  2020-02-19       Impact factor: 8.140

8.  Synaptic mechanisms for generating temporal diversity of auditory representation in the dorsal cochlear nucleus.

Authors:  Mu Zhou; Ya-Tang Li; Wei Yuan; Huizhong W Tao; Li I Zhang
Journal:  J Neurophysiol       Date:  2014-12-04       Impact factor: 2.714

9.  Experience-dependent and independent binocular correspondence of receptive field subregions in mouse visual cortex.

Authors:  Rashmi Sarnaik; Bor-Shuen Wang; Jianhua Cang
Journal:  Cereb Cortex       Date:  2013-02-06       Impact factor: 5.357

10.  Synaptic Conductance Estimates of the Connection Between Local Inhibitor Interneurons and Pyramidal Neurons in Layer 2/3 of a Cortical Column.

Authors:  Jochen H O Hoffmann; H S Meyer; Arno C Schmitt; Jakob Straehle; Trinh Weitbrecht; Bert Sakmann; Moritz Helmstaedter
Journal:  Cereb Cortex       Date:  2015-03-10       Impact factor: 5.357

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