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


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.

SUBMITTER: Peter A 

PROVIDER: S-EPMC6391066 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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

Peter Alina A   Uran Cem C   Klon-Lipok Johanna J   Roese Rasmus R   van Stijn Sylvia S   Barnes William W   Dowdall Jarrod R JR   Singer Wolf W   Fries Pascal P   Vinck Martin M  

eLife 20190204


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, str  ...[more]

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