A compressed sensing perspective of hippocampal function
Hippocampus is one of the most important information processing units in the brain. Input from the cortex passes through convergent axon pathways to the downstream hippocampal subregions and, after being appropriately processed, is fanned out back to the cortex. Here, we review evidence of the hypot...
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Frontiers Media S.A.
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126371/ |
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pubmed-41263712014-08-22 A compressed sensing perspective of hippocampal function Petrantonakis, Panagiotis C. Poirazi, Panayiota Neuroscience Hippocampus is one of the most important information processing units in the brain. Input from the cortex passes through convergent axon pathways to the downstream hippocampal subregions and, after being appropriately processed, is fanned out back to the cortex. Here, we review evidence of the hypothesis that information flow and processing in the hippocampus complies with the principles of Compressed Sensing (CS). The CS theory comprises a mathematical framework that describes how and under which conditions, restricted sampling of information (data set) can lead to condensed, yet concise, forms of the initial, subsampled information entity (i.e., of the original data set). In this work, hippocampus related regions and their respective circuitry are presented as a CS-based system whose different components collaborate to realize efficient memory encoding and decoding processes. This proposition introduces a unifying mathematical framework for hippocampal function and opens new avenues for exploring coding and decoding strategies in the brain. Frontiers Media S.A. 2014-08-08 /pmc/articles/PMC4126371/ /pubmed/25152718 http://dx.doi.org/10.3389/fnsys.2014.00141 Text en Copyright © 2014 Petrantonakis and Poirazi. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Petrantonakis, Panagiotis C. Poirazi, Panayiota |
| spellingShingle |
Petrantonakis, Panagiotis C. Poirazi, Panayiota A compressed sensing perspective of hippocampal function |
| author_facet |
Petrantonakis, Panagiotis C. Poirazi, Panayiota |
| author_sort |
Petrantonakis, Panagiotis C. |
| title |
A compressed sensing perspective of hippocampal function |
| title_short |
A compressed sensing perspective of hippocampal function |
| title_full |
A compressed sensing perspective of hippocampal function |
| title_fullStr |
A compressed sensing perspective of hippocampal function |
| title_full_unstemmed |
A compressed sensing perspective of hippocampal function |
| title_sort |
compressed sensing perspective of hippocampal function |
| description |
Hippocampus is one of the most important information processing units in the brain. Input from the cortex passes through convergent axon pathways to the downstream hippocampal subregions and, after being appropriately processed, is fanned out back to the cortex. Here, we review evidence of the hypothesis that information flow and processing in the hippocampus complies with the principles of Compressed Sensing (CS). The CS theory comprises a mathematical framework that describes how and under which conditions, restricted sampling of information (data set) can lead to condensed, yet concise, forms of the initial, subsampled information entity (i.e., of the original data set). In this work, hippocampus related regions and their respective circuitry are presented as a CS-based system whose different components collaborate to realize efficient memory encoding and decoding processes. This proposition introduces a unifying mathematical framework for hippocampal function and opens new avenues for exploring coding and decoding strategies in the brain. |
| publisher |
Frontiers Media S.A. |
| publishDate |
2014 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126371/ |
| _version_ |
1613122424495144960 |