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Synchronous behavior of two coupled electronic neurons
- Source :
- Biblos-e Archivo. Repositorio Institucional de la UAM, instname
- Publication Year :
- 2000
- Publisher :
- American Physical Society (APS), 2000.
-
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.<br />R.D. Pinto was supported by the Brazilian Agency Fundaçao de Amparo a Pesquisa do Estado de Sao Paulo - FAPESP. P.V. acknowledges support from MEC. Partial support for this work came from the U.S. Department of Energy, Office of Science, under Grants Nos. DE-FG03-90ER14138 and DE-FG03-96ER14592.
- Subjects :
- Differential equation
Models, Neurological
Chaotic
FOS: Physical sciences
Synchronization
Membrane Potentials
Biological Clocks
Animals
Computer Simulation
Bifurcation
Neurons
Informática
Physics
Membrane potential
Quantitative Biology::Neurons and Cognition
Artificial neural network
Analogue electronics
Stomatogastric ganglion
Nonlinear Sciences - Chaotic Dynamics
Ganglia, Invertebrate
Nephropidae
Quantitative Biology
Electrophysiology
FOS: Biological sciences
Synapses
Chaotic Dynamics (nlin.CD)
Biological system
Quantitative Biology (q-bio)
Subjects
Details
- ISSN :
- 10953787 and 1063651X
- Volume :
- 62
- Database :
- OpenAIRE
- Journal :
- Physical Review E
- Accession number :
- edsair.doi.dedup.....25a391dd6b45e5de69a86143b5bf33e0
- Full Text :
- https://doi.org/10.1103/physreve.62.2644