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Modeling of rhythmic patterns in hippocampus
Please always quote using this URN:urn:nbn:de:0296-matheon-9831
- We investigate different dynamical regimes of neuronal network in the CA3 area of the hippocampus. The proposed neuronal circuit includes two fast- and two slowly-spiking cells which are interconnected by means of dynamical synapses. On the individual level, each neuron is modeled by FitzHugh-Nagumo equations. Three basic rhythmic patterns are observed: gamma-rhythm in which the fast neurons are uniformly spiking, theta-rhythm in which the individual spikes are separated by quiet epochs, and theta/gamma rhythm with repeated patches of spikes. We analyze the influence of asymmetry of synaptic strengths on the synchronization in the network and demonstrate that strong asymmetry reduces the variety of available dynamical states. The model network exhibits multistability; this results in occurrence of hysteresis in dependence on the conductances of individual connections. We show that switching between different rhythmic patterns in the network depends on the degree of synchronization between the slow cells.
Author: | Anastasia Lavrova, Michael Zaks, Lutz Schimansky-Geier |
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URN: | urn:nbn:de:0296-matheon-9831 |
Referee: | Alexander Mielke |
Document Type: | Preprint, Research Center Matheon |
Language: | English |
Date of first Publication: | 2012/01/20 |
Release Date: | 2012/01/20 |
Tag: | Synchronization; multistability |
Institute: | Humboldt-Universität zu Berlin |
MSC-Classification: | 92-XX BIOLOGY AND OTHER NATURAL SCIENCES / 92-00 General reference works (handbooks, dictionaries, bibliographies, etc.) |
92-XX BIOLOGY AND OTHER NATURAL SCIENCES / 92Cxx Physiological, cellular and medical topics / 92C20 Neural biology | |
Preprint Number: | 864 |