Literature DB >> 26549331

Origin and Function of Tuning Diversity in Macaque Visual Cortex.

Robbe L T Goris1, Eero P Simoncelli2, J Anthony Movshon3.   

Abstract

Neurons in visual cortex vary in their orientation selectivity. We measured responses of V1 and V2 cells to orientation mixtures and fit them with a model whose stimulus selectivity arises from the combined effects of filtering, suppression, and response nonlinearity. The model explains the diversity of orientation selectivity with neuron-to-neuron variability in all three mechanisms, of which variability in the orientation bandwidth of linear filtering is the most important. The model also accounts for the cells' diversity of spatial frequency selectivity. Tuning diversity is matched to the needs of visual encoding. The orientation content found in natural scenes is diverse, and neurons with different selectivities are adapted to different stimulus configurations. Single orientations are better encoded by highly selective neurons, while orientation mixtures are better encoded by less selective neurons. A diverse population of neurons therefore provides better overall discrimination capabilities for natural images than any homogeneous population.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26549331      PMCID: PMC4786576          DOI: 10.1016/j.neuron.2015.10.009

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


  49 in total

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Authors:  D J Wielaard; M Shelley; D McLaughlin; R Shapley
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Authors:  Dajun Xing; Dario L Ringach; Robert Shapley; Michael J Hawken
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4.  Analyzing neural responses to natural signals: maximally informative dimensions.

Authors:  Tatyana Sharpee; Nicole C Rust; William Bialek
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5.  Effect of stimulus size on the dynamics of orientation selectivity in Macaque V1.

Authors:  Dajun Xing; Robert M Shapley; Michael J Hawken; Dario L Ringach
Journal:  J Neurophysiol       Date:  2005-02-23       Impact factor: 2.714

6.  Dynamics of orientation tuning in macaque primary visual cortex.

Authors:  D L Ringach; M J Hawken; R Shapley
Journal:  Nature       Date:  1997-05-15       Impact factor: 49.962

7.  On the variety of spatial frequency selectivities shown by neurons in area 17 of the cat.

Authors:  D J Tolhurst; I D Thompson
Journal:  Proc R Soc Lond B Biol Sci       Date:  1981-10-14

8.  Quantitative studies of single-cell properties in monkey striate cortex. II. Orientation specificity and ocular dominance.

Authors:  P H Schiller; B L Finlay; S F Volman
Journal:  J Neurophysiol       Date:  1976-11       Impact factor: 2.714

9.  Direction and orientation selectivity of neurons in visual area MT of the macaque.

Authors:  T D Albright
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Authors:  Ian Nauhaus; Laura Busse; Matteo Carandini; Dario L Ringach
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  30 in total

1.  Dissociation of Choice Formation and Choice-Correlated Activity in Macaque Visual Cortex.

Authors:  Robbe L T Goris; Corey M Ziemba; Gabriel M Stine; Eero P Simoncelli; J Anthony Movshon
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2.  Population activity statistics dissect subthreshold and spiking variability in V1.

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3.  More than meets the eye.

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Review 5.  The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions.

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6.  Densities and Laminar Distributions of Kv3.1b-, PV-, GABA-, and SMI-32-Immunoreactive Neurons in Macaque Area V1.

Authors:  Jenna G Kelly; Virginia García-Marín; Bernardo Rudy; Michael J Hawken
Journal:  Cereb Cortex       Date:  2019-05-01       Impact factor: 5.357

7.  Crowding and Binding: Not All Feature Dimensions Behave in the Same Way.

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9.  The statistics of how natural images drive the responses of neurons.

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Review 10.  Cortical synaptic architecture supports flexible sensory computations.

Authors:  Benjamin Scholl; David Fitzpatrick
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