Literature DB >> 28532362

Mechanisms of Orientation Selectivity in the Primary Visual Cortex.

Nicholas J Priebe1.   

Abstract

The mechanisms underlying the emergence of orientation selectivity in the visual cortex have been, and continue to be, the subjects of intense scrutiny. Orientation selectivity reflects a dramatic change in the representation of the visual world: Whereas afferent thalamic neurons are generally orientation insensitive, neurons in the primary visual cortex (V1) are extremely sensitive to stimulus orientation. This profound change in the receptive field structure along the visual pathway has positioned V1 as a model system for studying the circuitry that underlies neural computations across the neocortex. The neocortex is characterized anatomically by the relative uniformity of its circuitry despite its role in processing distinct signals from region to region. A combination of physiological, anatomical, and theoretical studies has shed some light on the circuitry components necessary for generating orientation selectivity in V1. This targeted effort has led to critical insights, as well as controversies, concerning how neural circuits in the neocortex perform computations.

Entities:  

Keywords:  inhibition; intracellular recording; lateral geniculate nucleus; orientation selectivity; primary visual cortex; spontaneous activity

Mesh:

Year:  2016        PMID: 28532362     DOI: 10.1146/annurev-vision-111815-114456

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  20 in total

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Review 5.  Development of Functional Properties in the Early Visual System: New Appreciations of the Roles of Lateral Geniculate Nucleus.

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Review 6.  Orientation-Selective Retinal Circuits in Vertebrates.

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Journal:  Front Neural Circuits       Date:  2018-02-07       Impact factor: 3.492

7.  Transformation of Feature Selectivity From Membrane Potential to Spikes in the Mouse Superior Colliculus.

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Journal:  Front Cell Neurosci       Date:  2018-06-19       Impact factor: 5.505

8.  Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding.

Authors:  Yanbo Lian; David B Grayden; Tatiana Kameneva; Hamish Meffin; Anthony N Burkitt
Journal:  Front Neural Circuits       Date:  2019-03-14       Impact factor: 3.492

9.  Distinct frequency bands in the local field potential are differently tuned to stimulus drift rate.

Authors:  Siddhesh Salelkar; Gowri Manohari Somasekhar; Supratim Ray
Journal:  J Neurophysiol       Date:  2018-04-25       Impact factor: 2.714

10.  Organization of Neural Population Code in Mouse Visual System.

Authors:  Kathleen Esfahany; Isabel Siergiej; Yuan Zhao; Il Memming Park
Journal:  eNeuro       Date:  2018-07-17
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