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bioRxiv · 10.1101/547802

Interneuronal correlations dynamically adjust to task demands at multiple time-scales

Ben Hadj Hassen, S.·Gaillard, C.·Astrand, E.·Wardak, C.·Ben Hamed, S.
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Abstract

Functional neuronal correlations between pairs of neurons are thought to play an important role in neuronal information processing and optimal neuronal computations during attention, perception, decision-making and learning. Here, we report dynamic changes in prefrontal neuronal noise correlations at multiple time-scales, as a function of task contingencies. Specifically, we record neuronal activity from the macaque frontal eye fields, a cortical region at the source of spatial attention top-down control, while the animals are engaged in tasks of varying cognitive demands. First, we show that noise correlations decrease as cognitive engagement and task demands increase, both across tasks and within-trials. Second, we demonstrate, for the first time, rhythmic modulations of noise correlations in the alpha and beta frequency ranges that account both for overt behavioral performance and for layer specific modulations in spike-field coherence. All this taken together demonstrates a strong functional role of noise correlations in cognitive flexibility.

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Ben Hadj Hassen, S., Gaillard, C., Astrand, E., Wardak, C., Ben Hamed, S.. 2019-02-12. Interneuronal correlations dynamically adjust to task demands at multiple time-scales. https://doi.org/10.1101/547802

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