TY  - INPR
A1  - Bányai, Mihály
A1  - Lazar, Andreea
A1  - Klein, Liane
A1  - Klon-Lipok, Johanna
A1  - Singer, Wolf
A1  - Orbán, Gergő
T1  - Stimulus content shapes cortical response statistics
T2  - bioRxiv
N2  - Spike count correlations (SCCs) are ubiquitous in sensory cortices, are characterized by rich structure and arise from structured internal interactions. Yet, most theories of visual perception focus exclusively on the mean responses of individual neurons. Here, we argue that feedback interactions in primary visual cortex (V1) establish the context in which individual neurons process complex stimuli and that changes in visual context give rise to stimulus-dependent SCCs. Measuring V1 population responses to natural scenes in behaving macaques, we show that the fine structure of SCCs is stimulus-specific and variations in response correlations across-stimuli are independent of variations in response means. Moreover, we demonstrate that stimulus-specificity of SCCs in V1 can be directly manipulated by controlling the high-order structure of synthetic stimuli. We propose that stimulus-specificity of SCCs is a natural consequence of hierarchical inference where inferences on the presence of high-level image features modulate inferences on the presence of low-level features.
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/72447
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-724470
IS  - 238774
ER  -