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Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding
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Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding
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Journal Article
Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding
2023
Overview
Neural computation is often traced in terms of either rate- or phase-codes. However, most circuit operations will simultaneously affect information across both coding schemes. It remains unclear how phase and rate coded information is transmitted, in the face of continuous modification at consecutive processing stages. Here, we study this question in the entorhinal cortex (EC)- dentate gyrus (DG)- CA3 system using three distinct computational models. We demonstrate that DG feedback inhibition leverages EC phase information to improve rate-coding, a computation we term phase-to-rate recoding. Our results suggest that it i) supports the conservation of phase information within sparse rate-codes and ii) enhances the efficiency of plasticity in downstream CA3 via increased synchrony. Given the ubiquity of both phase-coding and feedback circuits, our results raise the question whether phase-to-rate recoding is a recurring computational motif, which supports the generation of sparse, synchronous population-rate-codes in areas beyond the DG.
How neural codes are passed from one brain area to the next remains poorly understood. Here, the authors show how neuronal feedback inhibition converts incoming temporal information into sparse rate information in a biophysical network model of the dentate gyrus.
Publisher
Springer Science and Business Media LLC,Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
