Literature DB >> 11088744

Synchronous behavior of two coupled electronic neurons.

R D Pinto1, P Varona, A R Volkovskii, A Szücs, H D Abarbanel, M I Rabinovich.   

Abstract

We report on experimental studies of synchronization phenomena in a pair of analog electronic neurons (ENs). The ENs were designed to reproduce the observed membrane voltage oscillations of isolated biological neurons from the stomatogastric ganglion of the California spiny lobster Panulirus interruptus. The ENs are simple analog circuits which integrate four-dimensional differential equations representing fast and slow subcellular mechanisms that produce the characteristic regular/chaotic spiking-bursting behavior of these cells. In this paper we study their dynamical behavior as we couple them in the same configurations as we have done for their counterpart biological neurons. The interconnections we use for these neural oscillators are both direct electrical connections and excitatory and inhibitory chemical connections: each realized by analog circuitry and suggested by biological examples. We provide here quantitative evidence that the ENs and the biological neurons behave similarly when coupled in the same manner. They each display well defined bifurcations in their mutual synchronization and regularization. We report briefly on an experiment on coupled biological neurons and four-dimensional ENs, which provides further ground for testing the validity of our numerical and electronic models of individual neural behavior. Our experiments as a whole present interesting new examples of regularization and synchronization in coupled nonlinear oscillators.

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Year:  2000        PMID: 11088744     DOI: 10.1103/physreve.62.2644

Source DB:  PubMed          Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics        ISSN: 1063-651X


  8 in total

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6.  Optoelectronic system for brain neuronal network stimulation.

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Journal:  PLoS One       Date:  2018-06-01       Impact factor: 3.240

7.  Electrical Activity in a Time-Delay Four-Variable Neuron Model under Electromagnetic Induction.

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Journal:  Front Comput Neurosci       Date:  2017-11-21       Impact factor: 2.380

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  8 in total

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