Hippocampal place cells connected by Hebbian synapses can solve spatial problems

Robert U. Muller, Squire Matthew Stead

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

We propose that a cognitive map can be stored in the synapses between the pyramidal cells of CA3 in the form of the pattern of synaptic strenghths connecting them. The model requires only that there are place cells in CA3 and that the connections between them are modifiable in a Hebbian manner. Given these suppositions, the synaptic strengths must evolve to represent the distance between firing centers of synaptically connected place cells. We argue that this arrangement of synaptic weights embodies all the formal properties of a map. We demonstrate that the information stored in such a structure is sufficient to solve several classic spatial problems including finding shortest paths, and negotiating detours. It is clear that much of the physiology and anatomy necessary to more precisely characterize the model is not known at this time. Nevertheless the model is robust under a variety of sell and connection densities. It also performs well under several different functions relating distance to synaptic strength. What is most remarkable in the model is that it is a logical consequence of the several key anatomical and physiological properties of the CA3 region of rats. Whether this information is used by the rat is difficult to assess at this time. Regardless of the outcome of this question, the model has promising applications to the field of robot navigation.

Original languageEnglish (US)
Pages (from-to)709-719
Number of pages11
JournalHippocampus
Volume6
Issue number6
DOIs
StatePublished - 1996
Externally publishedYes

Fingerprint

Synapses
Pyramidal Cells
Negotiating
Anatomy
Weights and Measures
Place Cells

Keywords

  • Cognitive map
  • Graph theory
  • Hebbian synapses
  • Navigation
  • Neural network
  • Place cells
  • Spatial problem solving

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Hippocampal place cells connected by Hebbian synapses can solve spatial problems. / Muller, Robert U.; Stead, Squire Matthew.

In: Hippocampus, Vol. 6, No. 6, 1996, p. 709-719.

Research output: Contribution to journalArticle

@article{283484021a66439cb570b90781ba1992,
title = "Hippocampal place cells connected by Hebbian synapses can solve spatial problems",
abstract = "We propose that a cognitive map can be stored in the synapses between the pyramidal cells of CA3 in the form of the pattern of synaptic strenghths connecting them. The model requires only that there are place cells in CA3 and that the connections between them are modifiable in a Hebbian manner. Given these suppositions, the synaptic strengths must evolve to represent the distance between firing centers of synaptically connected place cells. We argue that this arrangement of synaptic weights embodies all the formal properties of a map. We demonstrate that the information stored in such a structure is sufficient to solve several classic spatial problems including finding shortest paths, and negotiating detours. It is clear that much of the physiology and anatomy necessary to more precisely characterize the model is not known at this time. Nevertheless the model is robust under a variety of sell and connection densities. It also performs well under several different functions relating distance to synaptic strength. What is most remarkable in the model is that it is a logical consequence of the several key anatomical and physiological properties of the CA3 region of rats. Whether this information is used by the rat is difficult to assess at this time. Regardless of the outcome of this question, the model has promising applications to the field of robot navigation.",
keywords = "Cognitive map, Graph theory, Hebbian synapses, Navigation, Neural network, Place cells, Spatial problem solving",
author = "Muller, {Robert U.} and Stead, {Squire Matthew}",
year = "1996",
doi = "10.1002/(SICI)1098-1063(1996)6:6<709::AID-HIPO13>3.0.CO;2-4",
language = "English (US)",
volume = "6",
pages = "709--719",
journal = "Hippocampus",
issn = "1050-9631",
publisher = "Wiley-Liss Inc.",
number = "6",

}

TY - JOUR

T1 - Hippocampal place cells connected by Hebbian synapses can solve spatial problems

AU - Muller, Robert U.

AU - Stead, Squire Matthew

PY - 1996

Y1 - 1996

N2 - We propose that a cognitive map can be stored in the synapses between the pyramidal cells of CA3 in the form of the pattern of synaptic strenghths connecting them. The model requires only that there are place cells in CA3 and that the connections between them are modifiable in a Hebbian manner. Given these suppositions, the synaptic strengths must evolve to represent the distance between firing centers of synaptically connected place cells. We argue that this arrangement of synaptic weights embodies all the formal properties of a map. We demonstrate that the information stored in such a structure is sufficient to solve several classic spatial problems including finding shortest paths, and negotiating detours. It is clear that much of the physiology and anatomy necessary to more precisely characterize the model is not known at this time. Nevertheless the model is robust under a variety of sell and connection densities. It also performs well under several different functions relating distance to synaptic strength. What is most remarkable in the model is that it is a logical consequence of the several key anatomical and physiological properties of the CA3 region of rats. Whether this information is used by the rat is difficult to assess at this time. Regardless of the outcome of this question, the model has promising applications to the field of robot navigation.

AB - We propose that a cognitive map can be stored in the synapses between the pyramidal cells of CA3 in the form of the pattern of synaptic strenghths connecting them. The model requires only that there are place cells in CA3 and that the connections between them are modifiable in a Hebbian manner. Given these suppositions, the synaptic strengths must evolve to represent the distance between firing centers of synaptically connected place cells. We argue that this arrangement of synaptic weights embodies all the formal properties of a map. We demonstrate that the information stored in such a structure is sufficient to solve several classic spatial problems including finding shortest paths, and negotiating detours. It is clear that much of the physiology and anatomy necessary to more precisely characterize the model is not known at this time. Nevertheless the model is robust under a variety of sell and connection densities. It also performs well under several different functions relating distance to synaptic strength. What is most remarkable in the model is that it is a logical consequence of the several key anatomical and physiological properties of the CA3 region of rats. Whether this information is used by the rat is difficult to assess at this time. Regardless of the outcome of this question, the model has promising applications to the field of robot navigation.

KW - Cognitive map

KW - Graph theory

KW - Hebbian synapses

KW - Navigation

KW - Neural network

KW - Place cells

KW - Spatial problem solving

UR - http://www.scopus.com/inward/record.url?scp=0030485720&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030485720&partnerID=8YFLogxK

U2 - 10.1002/(SICI)1098-1063(1996)6:6<709::AID-HIPO13>3.0.CO;2-4

DO - 10.1002/(SICI)1098-1063(1996)6:6<709::AID-HIPO13>3.0.CO;2-4

M3 - Article

VL - 6

SP - 709

EP - 719

JO - Hippocampus

JF - Hippocampus

SN - 1050-9631

IS - 6

ER -