Remembering rewarding futures: A simulation-selection model of the hippocampus

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 52
  • Download : 0
Despite tremendous progress, the neural circuit dynamics underlying hippocampal mnemonic processing remain poorly understood. We propose a new model for hippocampal function-the simulation-selection model-based on recent experimental findings and neuroecological considerations. Under this model, the mammalian hippocampus evolved to simulate and evaluate arbitrary navigation sequences. Specifically, we suggest that CA3 simulates unexperienced navigation sequences in addition to remembering experienced ones, and CA1 selects from among these CA3-generated sequences, reinforcing those that are likely to maximize reward during offline idling states. High-value sequences reinforced in CA1 may allow flexible navigation toward a potential rewarding location during subsequent navigation. We argue that the simulation-selection functions of the hippocampus have evolved in mammals mostly because of the unique navigational needs of land mammals. Our model may account for why the mammalian hippocampus has evolved not only to remember, but also to imagine episodes, and how this might be implemented in its neural circuits.
Publisher
WILEY
Issue Date
2018-12
Language
English
Article Type
Article
Citation

HIPPOCAMPUS, v.28, no.12, pp.913 - 930

ISSN
1050-9631
DOI
10.1002/hipo.23023
URI
http://hdl.handle.net/10203/249804
Appears in Collection
BS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0