article

Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession

Authors:

Hiroaki Wagatsuma,

Yoko YamaguchiAuthors Info & Claims

Neural Computation, Volume 16, Issue 12

Pages 2665 - 2697

https://doi.org/10.1162/0899766042321742

Published: 01 December 2004 Publication History

Abstract

The rodent hippocampus has been thought to represent the spatial environment as a cognitive map. The associative connections in the hippocampus imply that a neural entity represents the map as a geometrical network of hippocampal cells in terms of a chart. According to recent experimental observations, the cells fire successively relative to the theta oscillation of the local field potential, called theta phase precession, when the animal is running. This observation suggests the learning of temporal sequences with asymmetric connections in the hippocampus, but it also gives rather inconsistent implications on the formation of the chart that should consist of symmetric connections for space coding.In this study, we hypothesize that the chart is generated with theta phase coding through the integration of asymmetric connections. Our computer experiments use a hippocampal network model to demonstrate that a geometrical network is formed through running experiences in a few minutes. Asymmetric connections are found to remain and distribute heterogeneously in the network. The obtained network exhibits the spatial localization of activities at each instance as the chart does and their propagation that represents behavioral motions with multidirectional properties. We conclude that theta phase precession and the Hebbian rule with a time delay can provide the neural principles for learning the cognitive map.

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Cited By

Shimoda SKimura H(2019)Biomimetic approach to tacit learning based on compound controlIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics10.1109/TSMCB.2009.201447040:1(77-90)Online publication date: 21-Nov-2019
https://dl.acm.org/doi/10.1109/TSMCB.2009.2014470
Sato NYamaguchi Y(2010)Simulation of human episodic memory by using a computational model of the hippocampusAdvances in Artificial Intelligence10.1155/2010/3928682010(2-2)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1155/2010/392868
Wagatsuma HYamaguchi Y(2008)Synchronized rhythmic signals effectively influence ongoing cortical activity for decision-makingProceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I10.5555/1813488.1813602(859-866)Online publication date: 25-Nov-2008
https://dl.acm.org/doi/10.5555/1813488.1813602
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Index Terms

Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies

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cover image Neural Computation

Neural Computation Volume 16, Issue 12

December 2004

226 pages

ISSN:0899-7667

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MIT Press

Cambridge, MA, United States

Publication History

Published: 01 December 2004

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Cited By

Shimoda SKimura H(2019)Biomimetic approach to tacit learning based on compound controlIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics10.1109/TSMCB.2009.201447040:1(77-90)Online publication date: 21-Nov-2019
https://dl.acm.org/doi/10.1109/TSMCB.2009.2014470
Sato NYamaguchi Y(2010)Simulation of human episodic memory by using a computational model of the hippocampusAdvances in Artificial Intelligence10.1155/2010/3928682010(2-2)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1155/2010/392868
Wagatsuma HYamaguchi Y(2008)Synchronized rhythmic signals effectively influence ongoing cortical activity for decision-makingProceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I10.5555/1813488.1813602(859-866)Online publication date: 25-Nov-2008
https://dl.acm.org/doi/10.5555/1813488.1813602
Sato NYamaguchi Y(2008)Relationship between an input sequence and asymmetric connections formed by theta phase precession and STDPProceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I10.5555/1813488.1813513(186-193)Online publication date: 25-Nov-2008
https://dl.acm.org/doi/10.5555/1813488.1813513
Wagatsuma H(2008)Hybrid design principles and time constants in the construction of brain-based roboticsProceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I10.5555/1813488.1813504(119-126)Online publication date: 25-Nov-2008
https://dl.acm.org/doi/10.5555/1813488.1813504
Wagatsuma HYamaguchi Y(2008)Context-Dependent Adaptive Behavior Generated in the Theta Phase Coding NetworkNeural Information Processing10.1007/978-3-540-69162-4_19(177-184)Online publication date: 1-Jan-2008
https://dl.acm.org/doi/10.1007/978-3-540-69162-4_19
Sato N(2007)Theta Phase Coding in Human HippocampusDynamic Brain - from Neural Spikes to Behaviors10.1007/978-3-540-88853-6_2(13-27)Online publication date: 5-Dec-2007
https://dl.acm.org/doi/10.1007/978-3-540-88853-6_2
Wu ZYamaguchi Y(2006)Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampusNeural Networks10.1016/j.neunet.2005.06.04819:5(547-563)Online publication date: 1-Jun-2006
https://dl.acm.org/doi/10.1016/j.neunet.2005.06.048
Molter CSato NSalihoglu UYamaguchi Y(2006)How reward can induce reverse replay of behavioral sequences in the hippocampusProceedings of the 13 international conference on Neural Information Processing - Volume Part I10.1007/11893028_1(1-10)Online publication date: 3-Oct-2006
https://dl.acm.org/doi/10.1007/11893028_1

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