TY  - JOUR
AU  - Müller-Komorowska, Daniel
AU  - Kuru, Baris
AU  - Beck, Heinz
AU  - Braganza, Oliver
TI  - Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding
JO  - Nature Communications
VL  - 14
IS  - 1
SN  - 2041-1723
CY  - [London]
PB  - Nature Publishing Group UK
M1  - DZNE-2023-00985
SP  - 6106
PY  - 2023
AB  - 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.
KW  - Dentate Gyrus: physiology
KW  - Entorhinal Cortex: physiology
KW  - Models, Neurological
KW  - Hippocampus: physiology
LB  - PUB:(DE-HGF)16
C6  - pmid:37777512
C2  - pmc:PMC10543394
DO  - DOI:10.1038/s41467-023-41803-8
UR  - https://pub.dzne.de/record/265361
ER  -