Literature DB >> 15901400

Synchronized firings in the networks of class 1 excitable neurons with excitatory and inhibitory connections and their dependences on the forms of interactions.

Takashi Kanamaru1, Masatoshi Sekine.   

Abstract

Synchronized firings in the networks of class 1 excitable neurons with excitatory and inhibitory connections are investigated, and their dependences on the forms of interactions are analyzed. As the forms of interactions, we treat the double exponential coupling and the interactions derived from it: pulse coupling, exponential coupling, and alpha coupling. It is found that the bifurcation structure of the networks depends mainly on the decay time of the synaptic interaction and the effect of the rise time is smaller than that of the decay time.

Mesh:

Year:  2005        PMID: 15901400     DOI: 10.1162/0899766053630387

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  6 in total

1.  Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli.

Authors:  Cheng Ly; G Bard Ermentrout
Journal:  J Comput Neurosci       Date:  2008-11-26       Impact factor: 1.621

2.  Population dynamics of the modified theta model: macroscopic phase reduction and bifurcation analysis link microscopic neuronal interactions to macroscopic gamma oscillation.

Authors:  Kiyoshi Kotani; Ikuhiro Yamaguchi; Lui Yoshida; Yasuhiko Jimbo; G Bard Ermentrout
Journal:  J R Soc Interface       Date:  2014-03-19       Impact factor: 4.118

3.  Epileptogenesis due to glia-mediated synaptic scaling.

Authors:  Cristina Savin; Jochen Triesch; Michael Meyer-Hermann
Journal:  J R Soc Interface       Date:  2008-11-04       Impact factor: 4.118

4.  Deformation of attractor landscape via cholinergic presynaptic modulations: a computational study using a phase neuron model.

Authors:  Takashi Kanamaru; Hiroshi Fujii; Kazuyuki Aihara
Journal:  PLoS One       Date:  2013-01-11       Impact factor: 3.240

5.  An attractor-based complexity measurement for Boolean recurrent neural networks.

Authors:  Jérémie Cabessa; Alessandro E P Villa
Journal:  PLoS One       Date:  2014-04-11       Impact factor: 3.240

6.  Acetylcholine-mediated top-down attention improves the response to bottom-up inputs by deformation of the attractor landscape.

Authors:  Takashi Kanamaru; Kazuyuki Aihara
Journal:  PLoS One       Date:  2019-10-07       Impact factor: 3.240

  6 in total

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