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Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task

Academic Article
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Overview

authors

  • Krichmar, J. L.
  • Nitz, D. A.
  • Gally, J. A.
  • Edelman, Gerald

publication date

  • February 2005

journal

  • Proceedings of the National Academy of Sciences of the United States of America  Journal

abstract

  • Analyzing neural dynamics underlying complex behavior is a major challenge in systems neurobiology. To meet this challenge through computational neuroscience, we have constructed a brain-based device (Darwin X) that interacts with a real environment, and whose behavior is guided by a simulated nervous system incorporating detailed aspects of the anatomy and physiology of the hippocampus and its surrounding regions. Darwin X integrates cues from its environment to solve a spatial memory task. Place-specific units, similar to place cells in the rodent, emerged by integrating visual and self-movement cues during exploration without prior assumptions in the model about environmental inputs. Because synthetic neural modeling using brain-based devices allows recording from all elements of the simulated nervous system during behavior, we were able to identify different functional hippocampal pathways. We did this by tracing back from reference neuronal units in the CA1 region of the simulated hippocampus to all of the synaptically connected units that were coactive during a particular exploratory behavior. Our analysis identified a number of different functional pathways within the simulated hippocampus that incorporate either the perforant path or the trisynaptic loop. Place fields, which were activated by the trisynaptic circuit, tended to be more selective and informative. However, place units that were activated by the perforant path were prevalent in the model and were crucial for generating appropriate exploratory behavior. Thus, in the model, different functional pathways influence place field activity and, hence, behavior during navigation.

subject areas

  • Animals
  • Behavior
  • Hippocampus
  • Maze Learning
  • Memory
  • Models, Biological
  • Neural Networks (Computer)
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Research

keywords

  • CA1
  • computational model
  • entorhinal cortex
  • network
  • place cell
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Identity

PubMed Central ID

  • PMC548312

International Standard Serial Number (ISSN)

  • 0027-8424

Digital Object Identifier (DOI)

  • 10.1073/pnas.0409792102

PubMed ID

  • 15684078
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Additional Document Info

start page

  • 2111

end page

  • 2116

volume

  • 102

issue

  • 6

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