scholarly journals Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network

2019 ◽  
Vol 29 (4) ◽  
pp. 043106 ◽  
Author(s):  
Moises S. Santos ◽  
Paulo R. Protachevicz ◽  
Kelly C. Iarosz ◽  
Iberê L. Caldas ◽  
Ricardo L. Viana ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Spike Burst ◽  
Chimera States ◽  
Integrate And Fire

Chimera states in a thermosensitive FitzHugh-Nagumo neuronal network

2021 ◽  
Vol 410 ◽  
pp. 126461
Author(s):  
Iqtadar Hussain ◽  
Dibakar Ghosh ◽  
Sajad Jafari
Keyword(s):  
Neuronal Network ◽  
Chimera States

Chimera states in a multi-weighted neuronal network

2021 ◽  
pp. 127847
Author(s):  
Iqtadar Hussain ◽  
Sajad Jafari ◽  
Matjaž Perc ◽  
Dibakar Ghosh
Keyword(s):  
Neuronal Network ◽  
Chimera States

scholarly journals Simulation of Code Spectrum and Code Flow of Cultured Neuronal Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Shinichi Tamura ◽  
Yoshi Nishitani ◽  
Chie Hosokawa ◽  
Tomomitsu Miyoshi ◽  
Hajime Sawai
Keyword(s):  
Neural Network ◽  
Neuronal Network ◽  
Neuronal Networks ◽  
Decay Constant ◽  
Spatial Decay ◽  
Network Configuration ◽  
Code Analysis ◽  
Refractory Periods ◽  
Integrate And Fire ◽  
Spectrum Curve

It has been shown that, in cultured neuronal networks on a multielectrode, pseudorandom-like sequences (codes) are detected, and they flow with some spatial decay constant. Each cultured neuronal network is characterized by a specific spectrum curve. That is, we may consider the spectrum curve as a “signature” of its associated neuronal network that is dependent on the characteristics of neurons and network configuration, including the weight distribution. In the present study, we used an integrate-and-fire model of neurons with intrinsic and instantaneous fluctuations of characteristics for performing a simulation of a code spectrum from multielectrodes on a 2D mesh neural network. We showed that it is possible to estimate the characteristics of neurons such as the distribution of number of neurons around each electrode and their refractory periods. Although this process is a reverse problem and theoretically the solutions are not sufficiently guaranteed, the parameters seem to be consistent with those of neurons. That is, the proposed neural network model may adequately reflect the behavior of a cultured neuronal network. Furthermore, such prospect is discussed that code analysis will provide a base of communication within a neural network that will also create a base of natural intelligence.

scholarly journals Chimera states in a neuronal network under the action of an electric field

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
Gaël R. Simo ◽  
Thierry Njougouo ◽  
R. P. Aristides ◽  
Patrick Louodop ◽  
Robert Tchitnga ◽  
...  
Keyword(s):  
Electric Field ◽  
Neuronal Network ◽  
Chimera States

scholarly journals Multi-chimera States in the Leaky Integrate-and-Fire Model

2015 ◽  
Vol 66 ◽  
pp. 13-22 ◽  
Author(s):  
N.D. Tsigkri-DeSmedt ◽  
J. Hizanidis ◽  
P. Hövel ◽  
A. Provata
Keyword(s):  
Fire Model ◽  
Chimera States ◽  
Integrate And Fire

scholarly journals Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamics

2016 ◽  
Vol 171 ◽  
pp. 1313-1322 ◽  
Author(s):  
Victor J. Barranca ◽  
Gregor Kovačič ◽  
Douglas Zhou ◽  
David Cai
Keyword(s):  
Image Processing ◽  
Compressive Sensing ◽  
Neuronal Network ◽  
Network Dynamics ◽  
Integrate And Fire ◽  
Neuronal Network Dynamics

Solitary waves on manifolds of integrate-and-fire neurons

1998 ◽  
Vol 77 (5) ◽  
pp. 1575-1583
Author(s):  
David Horn, Irit Opher
Keyword(s):  
Solitary Waves ◽  
Integrate And Fire
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