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Replays of spatial memories suppress topological fluctuations in cognitive map

Journal Article · · Network Neuroscience
DOI:https://doi.org/10.1162/netn_a_00076· OSTI ID:1560577
 [1];  [2];  [3]
  1. Rice Univ., Houston, TX (United States). Dept. of Computational and Applied Mathematics
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Rice Univ., Houston, TX (United States). Dept. of Computational and Applied Mathematics; Univ. of Texas McGovern Medical School, Houston, TX (United States). Dept. of Neurology
The spiking activity of the hippocampal place cells plays a key role in producing and sustaining an internalized representation of the ambient space—a cognitive map. These cells do not only exhibit location-specific spiking during navigation, but also may rapidly replay the navigated routs through endogenous dynamics of the hippocampal network. Physiologically, such reactivations are viewed as manifestations of “memory replays” that help to learn new information and to consolidate previously acquired memories by reinforcing synapses in the parahippocampal networks. Below we propose a computational model of these processes that allows assessing the effect of replays on acquiring a robust topological map of the environment and demonstrate that replays may play a key role in stabilizing the hippocampal representation of space.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1560577
Journal Information:
Network Neuroscience, Journal Name: Network Neuroscience Journal Issue: 3 Vol. 3; ISSN 2472-1751
Country of Publication:
United States
Language:
English

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Cited By (1)

Editorial: Topological Neuroscience journal January 2019

Figures / Tables (6)


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