Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding
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 c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-41803-8 |
| _version_ | 1797558132403077120 |
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| author | Daniel Müller-Komorowska Baris Kuru Heinz Beck Oliver Braganza |
| author_facet | Daniel Müller-Komorowska Baris Kuru Heinz Beck Oliver Braganza |
| author_sort | Daniel Müller-Komorowska |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T17:26:06Z |
| format | Article |
| id | doaj.art-39728b7291fa4f42a863c41a35a82d98 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-10T17:26:06Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-39728b7291fa4f42a863c41a35a82d982023-11-20T10:09:30ZengNature PortfolioNature Communications2041-17232023-09-0114111810.1038/s41467-023-41803-8Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recodingDaniel Müller-Komorowska0Baris Kuru1Heinz Beck2Oliver Braganza3Neural Coding and Brain Computing Unit, Okinawa Institute of Science and Technology Graduate UniversityInstitute for Experimental Epileptology and Cognition Research, University of BonnInstitute for Experimental Epileptology and Cognition Research, University of BonnInstitute for Experimental Epileptology and Cognition Research, University of BonnAbstract 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.https://doi.org/10.1038/s41467-023-41803-8 |
| spellingShingle | Daniel Müller-Komorowska Baris Kuru Heinz Beck Oliver Braganza Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding Nature Communications |
| title | Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding |
| title_full | Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding |
| title_fullStr | Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding |
| title_full_unstemmed | Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding |
| title_short | Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding |
| title_sort | phase information is conserved in sparse synchronous population rate codes via phase to rate recoding |
| url | https://doi.org/10.1038/s41467-023-41803-8 |
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