Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-27T23:12:59.813Z Has data issue: false hasContentIssue false
  • English
  • Français

A hippocampal indexing model of memory retrieval based on state trajectory reconstruction

Published online by Cambridge University Press:  21 November 2013

Peter Ford Dominey
Peter Ford Dominey*
Affiliation:
CNRS/INSERM Stem Cell and Brain Research Institute, 69675 Bron cedex, France. [email protected]://www.sbri.fr/teams/human-and-robot-interactive-cognitive-systems.html
Get access Rights & Permissions [Opens in a new window]

Abstract

A method is proposed where static patterns or snapshots of cortical activity that could be stored as hyperassociative indices in hippocampus can subsequently be retrieved and reinjected into the neocortex in order to enable neocortex to then proceed to unfold the corresponding sequence, thus implementing an index-based sequence memory storage and retrieval capability.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 6 , December 2013 , pp. 615 - 616
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Binder, J. R. & Desai, R. H. (2011) The neurobiology of semantic memory. Trends in Cognitive Sciences 15(11):527–36. doi:10.1016/j.tics.2011.10.001.CrossRefGoogle ScholarPubMed
Binder, J. R., Desai, R. H., Graves, W. W. & Conant, L. L. (2009) Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral Cortex 19(12):2767–96. doi:10.1093/cercor/bhp055.CrossRefGoogle ScholarPubMed
Dominey, P. F. (1995) Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning. Biological Cybernetics 73(3):265–74.Google Scholar
Dominey, P. F. & Ramus, F. (2000) Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant. Language and Cognitive Processes 15(1):87–127.Google Scholar
Frankland, P. W. & Bontempi, B. (2005) The organization of recent and remote memories. Nature Reviews Neuroscience 6(2):119–30. doi:10.1038/nrn1607.CrossRefGoogle ScholarPubMed
Hinaut, X. & Dominey, P. F. (2013) Real-time parallel processing of grammatical structure in the fronto-striatal system: A recurrent network simulation study using reservoir computing. PLoS One 8(2):e52946. doi:10.1371/journal.pone.0052946.CrossRefGoogle ScholarPubMed