Literature DB >> 31913758

Development and binocular matching of orientation selectivity in visual cortex: a computational model.

Xize Xu1, Jianhua Cang2, Hermann Riecke1.   

Abstract

In mouse visual cortex, right after eye opening binocular cells have different preferred orientations for input from the two eyes. With normal visual experience during a critical period, these preferred orientations evolve and eventually become well matched. To gain insight into the matching process, we developed a computational model of a cortical cell receiving orientation selective inputs via plastic synapses. The model captures the experimentally observed matching of the preferred orientations, the dependence of matching on ocular dominance of the cell, and the relationship between the degree of matching and the resulting monocular orientation selectivity. Moreover, our model puts forward testable predictions: 1) The matching speed increases with initial ocular dominance. 2) While the matching improves more slowly for cells that are more orientation selective, the selectivity increases faster for better matched cells during the matching process. This suggests that matching drives orientation selectivity but not vice versa. 3) There are two main routes to matching: the preferred orientations either drift toward each other or one of the orientations switches suddenly. The latter occurs for cells with large initial mismatch and can render the cells monocular. We expect that these results provide insight more generally into the development of neuronal systems that integrate inputs from multiple sources, including different sensory modalities.NEW & NOTEWORTHY Animals gather information through multiple modalities (vision, audition, touch, etc.). These information streams have to be merged coherently to provide a meaningful representation of the world. Thus, for neurons in visual cortex V1, the orientation selectivities for inputs from the two eyes have to match to enable binocular vision. We analyze the postnatal process underlying this matching using computational modeling. It captures recent experimental results and reveals interdependence between matching, ocular dominance, and orientation selectivity.

Entities:  

Keywords:  computational modeling; multisensory integration; orientation selectivity; synaptic plasticity; visual cortex

Mesh:

Year:  2020        PMID: 31913758      PMCID: PMC7191524          DOI: 10.1152/jn.00386.2019

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  33 in total

1.  Connectivity reflects coding: a model of voltage-based STDP with homeostasis.

Authors:  Claudia Clopath; Lars Büsing; Eleni Vasilaki; Wulfram Gerstner
Journal:  Nat Neurosci       Date:  2010-01-24       Impact factor: 24.884

2.  Correlation-based development of ocularly matched orientation and ocular dominance maps: determination of required input activities.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1998-12-01       Impact factor: 6.167

3.  The joint development of orientation and ocular dominance: role of constraints.

Authors:  C Piepenbrock; H Ritter; K Obermayer
Journal:  Neural Comput       Date:  1997-07-01       Impact factor: 2.026

4.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

5.  A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs.

Authors:  K D Miller
Journal:  J Neurosci       Date:  1994-01       Impact factor: 6.167

6.  Converging influences from visual, auditory, and somatosensory cortices onto output neurons of the superior colliculus.

Authors:  M T Wallace; M A Meredith; B E Stein
Journal:  J Neurophysiol       Date:  1993-06       Impact factor: 2.714

7.  A theory of the transition to critical period plasticity: inhibition selectively suppresses spontaneous activity.

Authors:  Taro Toyoizumi; Hiroyuki Miyamoto; Yoko Yazaki-Sugiyama; Nafiseh Atapour; Takao K Hensch; Kenneth D Miller
Journal:  Neuron       Date:  2013-10-02       Impact factor: 17.173

Review 8.  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

9.  Development of orientation selectivity in ferret visual cortex and effects of deprivation.

Authors:  B Chapman; M P Stryker
Journal:  J Neurosci       Date:  1993-12       Impact factor: 6.167

10.  Persistent Structural Plasticity Optimizes Sensory Information Processing in the Olfactory Bulb.

Authors:  Kurt A Sailor; Matthew T Valley; Martin T Wiechert; Hermann Riecke; Gerald J Sun; Wayne Adams; James C Dennis; Shirin Sharafi; Guo-Li Ming; Hongjun Song; Pierre-Marie Lledo
Journal:  Neuron       Date:  2016-06-30       Impact factor: 17.173

View more
  2 in total

1.  A binocular synaptic network supports interocular response alignment in visual cortical neurons.

Authors:  Benjamin Scholl; Clara Tepohl; Melissa A Ryan; Connon I Thomas; Naomi Kamasawa; David Fitzpatrick
Journal:  Neuron       Date:  2022-02-04       Impact factor: 18.688

2.  Norepinephrine potentiates and serotonin depresses visual cortical responses by transforming eligibility traces.

Authors:  Su Z Hong; Lukas Mesik; Cooper D Grossman; Jeremiah Y Cohen; Boram Lee; Daniel Severin; Hey-Kyoung Lee; Johannes W Hell; Alfredo Kirkwood
Journal:  Nat Commun       Date:  2022-06-09       Impact factor: 17.694

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.