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Modeling hippocampal theta oscillation: Applications in neuropharmacology and robot navigation
Author(s) -
Kiss Tamás,
Orbán Gergő,
Érdi Péter
Publication year - 2006
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20168
Subject(s) - hippocampal formation , neuroscience , interneuron , computer science , population , gabaergic , oscillation (cell signaling) , pyramidal cell , computational neuroscience , artificial intelligence , biology , inhibitory postsynaptic potential , genetics , demography , sociology
This article introduces a biologically realistic mathematical, computational model of theta (≈5 Hz) rhythm generation in the hippocampal CA1 region and some of its possible further applications in drug discovery and in robotic/computational models of navigation. The model shown here uses the conductance‐based description of nerve cells: Populations of basket cells, alveus/lacunosum‐moleculare interneurons, and pyramidal cells are used to model the hippocampal CA1 and a fast‐spiking GABAergic interneuron population for modeling the septal influence. Results of the model show that the septo‐hippocampal feedback loop is capable of robust theta rhythm generation due to proper timing of pyramidal cells and synchronization within the basket cell network via recurrent connections. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 903–917, 2006.