Inferring decoding strategies for multiple correlated neural populations.

ABSTRACT: Studies of neuron-behaviour correlation and causal manipulation have long been used separately to understand the neural basis of perception. Yet these approaches sometimes lead to drastically conflicting conclusions about the functional role of brain areas. Theories that focus only on choice-related neuronal activity cannot reconcile those findings without additional experiments involving large-scale recordings to measure interneuronal correlations. By expanding current theories of neural coding and incorporating results from inactivation experiments, we demonstrate here that it is possible to infer decoding weights of different brain areas at a coarse scale without precise knowledge of the correlation structure. We apply this technique to neural data collected from two different cortical

SUBMITTER: Lakshminarasimhan KJ 

PROVIDER: S-EPMC6188888 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature