Literature DB >> 30714900

Surface color and predictability determine contextual modulation of V1 firing and gamma oscillations.

Alina Peter1,2, Cem Uran1, Pascal Fries1,3, Martin Vinck1, Johanna Klon-Lipok1,4, Rasmus Roese1, Sylvia van Stijn1,4, William Barnes1, Jarrod R Dowdall1, Wolf Singer1,5.   

Abstract

The integration of direct bottom-up inputs with contextual information is a core feature of neocortical circuits. In area V1, neurons may reduce their firing rates when their receptive field input can be predicted by spatial context. Gamma-synchronized (30-80 Hz) firing may provide a complementary signal to rates, reflecting stronger synchronization between neuronal populations receiving mutually predictable inputs. We show that large uniform surfaces, which have high spatial predictability, strongly suppressed firing yet induced prominent gamma synchronization in macaque V1, particularly when they were colored. Yet, chromatic mismatches between center and surround, breaking predictability, strongly reduced gamma synchronization while increasing firing rates. Differences between responses to different colors, including strong gamma-responses to red, arose from stimulus adaptation to a full-screen background, suggesting prominent differences in adaptation between M- and L-cone signaling pathways. Thus, synchrony signaled whether RF inputs were predicted from spatial context, while firing rates increased when stimuli were unpredicted from context.
© 2019, Peter et al.

Entities:  

Keywords:  color vision; contextual modulation; efficient coding; gamma oscillations; neuroscience; predictive coding; rhesus macaque; surround suppression

Mesh:

Year:  2019        PMID: 30714900      PMCID: PMC6391066          DOI: 10.7554/eLife.42101

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  167 in total

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8.  Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas.

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9.  Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex.

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  25 in total

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Review 3.  Gamma rhythms in the visual cortex: functions and mechanisms.

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5.  Functionally Distinct Gamma Range Activity Revealed by Stimulus Tuning in Human Visual Cortex.

Authors:  Eleonora Bartoli; William Bosking; Yvonne Chen; Ye Li; Sameer A Sheth; Michael S Beauchamp; Daniel Yoshor; Brett L Foster
Journal:  Curr Biol       Date:  2019-10-03       Impact factor: 10.834

6.  Theta, but Not Gamma Oscillations in Area V4 Depend on Input from Primary Visual Cortex.

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7.  Monkey V1 epidural field potentials provide detailed information about stimulus location, size, shape, and color.

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8.  An image-computable model for the stimulus selectivity of gamma oscillations.

Authors:  Kendrick N Kay; Jonathan Winawer; Dora Hermes; Natalia Petridou
Journal:  Elife       Date:  2019-11-08       Impact factor: 8.140

9.  Multiplexing rhythmic information by spike timing dependent plasticity.

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Journal:  PLoS Comput Biol       Date:  2020-06-29       Impact factor: 4.475

10.  Relation between gamma oscillations and neuronal plasticity in the visual cortex.

Authors:  Ralf A W Galuske; Matthias H J Munk; Wolf Singer
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-28       Impact factor: 11.205

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