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@ARTICLE{MllerKomorowska:265361,
author = {Müller-Komorowska, Daniel and Kuru, Baris and Beck, Heinz
and Braganza, Oliver},
title = {{P}hase information is conserved in sparse, synchronous
population-rate-codes via phase-to-rate recoding},
journal = {Nature Communications},
volume = {14},
number = {1},
issn = {2041-1723},
address = {[London]},
publisher = {Nature Publishing Group UK},
reportid = {DZNE-2023-00985},
pages = {6106},
year = {2023},
abstract = {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.},
keywords = {Dentate Gyrus: physiology / Entorhinal Cortex: physiology /
Models, Neurological / Hippocampus: physiology},
cin = {Bonn common},
ddc = {500},
cid = {I:(DE-2719)6000011},
pnm = {352 - Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-352},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:37777512},
pmc = {pmc:PMC10543394},
doi = {10.1038/s41467-023-41803-8},
url = {https://pub.dzne.de/record/265361},
}