Attractor neural network models of spatial maps in hippocampus
1999; Wiley; Volume: 9; Issue: 4 Linguagem: Inglês
10.1002/(sici)1098-1063(1999)9
ISSN1098-1063
Autores Tópico(s)Neural dynamics and brain function
ResumoHippocampusVolume 9, Issue 4 p. 481-489 Original Article Attractor neural network models of spatial maps in hippocampus Misha Tsodyks, Corresponding Author Misha Tsodyks bnmisha@wicc.weizmann.ac.il Department of Neurobiology, Weizmann Institute of Science, Rehovot, IsraelDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.Search for more papers by this author Misha Tsodyks, Corresponding Author Misha Tsodyks bnmisha@wicc.weizmann.ac.il Department of Neurobiology, Weizmann Institute of Science, Rehovot, IsraelDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.Search for more papers by this author First published: 03 September 1999 https://doi.org/10.1002/(SICI)1098-1063(1999)9:4 3.0.CO;2-SCitations: 71AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Hippocampal pyramidal neurons in rats are selectively activated at specific locations in an environment (O'Keefe and Dostrovsky, Brain Res 1971;34:171–175). Different cells are active in different places, therefore providing a faithful representation of the environment in which every spatial location is mapped to a particular population state of activity of place cells (Wilson and McNaughton, Science 1993;261:1055–1058; Zhang et al., J Neurosci 1998;79:1017–1044). We describe a theory of the hippocampus, according to which the map results from the cooperative dynamics of network, in which the strength of synaptic interaction between the neurons depends on the distance between their place fields. This synaptic structure guarantees that the network possesses a quasi-continuous set of stable states (attractors) that are localized in the space of neuronal variables reflecting their synaptic interactions, rather than their physical location in the hippocampus. As a consequence of the stable states, the network can exhibit place selective activity even without relying on input from external sensory cues. Hippocampus 1999;9:481– 489. © 1999 Wiley-Liss, Inc. Citing Literature Volume9, Issue41999Pages 481-489 RelatedInformation
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