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Motion contrast in primary visual cortex: a direct comparison of single neuron and population encoding
Author(s) -
CondeOcazionez Sergio,
Altavini Tiago S.,
Wunderle Thomas,
Schmidt Kerstin E.
Publication year - 2018
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/ejn.13786
Subject(s) - visual cortex , contrast (vision) , encoding (memory) , neuroscience , population , neuron , psychology , computer vision , computer science , medicine , environmental health
Features from outside the classical receptive field ( CRF ) can modulate the stimulus‐driven activity of single cells in the primary visual cortex. This modulation, mediated by horizontal and feedback networks, has been extensively described as a variation of firing rate and is considered the basis of processing features as, for example, motion contrast. However, surround influences have also been identified in pairwise spiking or local field coherence. Yet, evidence about co‐existence and integration of different neural signatures remains elusive. To compare multiple signatures, we recorded spiking and LFP activity evoked by stimuli exhibiting a motion contrast in the CRF s surround in anesthetized cat primary visual cortex. We chose natural‐like scenes over gratings to avoid predominance of simple visual features, which could be easily represented by a rate code. We analyzed firing rates and phase‐locking to low‐gamma frequency in single cells and neuronal assemblies. Motion contrast was reflected in all measures but in semi‐independent populations. Whereas activation of assemblies accompanied single neuron rates, their phase relations were modulated differently. Interestingly, only assembly phase relations mirrored the direction of movement of the surround and were selectively affected by thermal deactivation of visual interhemispheric connections. We argue that motion contrast can be reflected in complementary and superimposed neuronal signatures that can represent different surround features in independent neuronal populations.

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