Better Risk Management

Abstract

<h3>Abstract</h3> Cortical neurons show distinct firing patterns across multiple task-epochs characterized by distinct computational aspects. Recent studies suggest that such distinct patterns underly dynamic population code achieving computational flexibility, whereas neurons in some cortical areas often show coherent firing patterns across epochs. To understand how such coherent single-neuron code contribute to dynamic population code, we analyzed neural responses in the perirhinal cortex (PRC) during cue and reward epochs of a two-alternative forced-choice task. We found that the PRC neurons often encoded the opposite choice-directions between those epochs. By using principal component analysis as population-level analysis, we identified neural subspaces associated with each epoch, which reflected coordinated patterns across the neurons. The cue and reward epochs shared neural dimensions where the choice directions were consistently discriminated. Interestingly, those dimensions were supported by dynamically changing contributions of individual neurons. These results indicated heterogeneity of coherent single-neuron responses in their contribution to population code.