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Synchronized action of synaptically coupled chaotic model neurons
H D Abarbanel1, R Huerta, M I Rabinovich
1Department of Physics, Scripps Institution of Oceanography, University of California, San Diego, La Jolla 92093-0402, USA.
Neural Computation
|November 15, 1996
Summary
Neurons exhibit chaotic electrical activity. This study models coupled chaotic neurons, revealing synchronization patterns dependent on coupling type and delay, impacting neural network dynamics.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Dynamical Systems Theory
Background:
- Neuronal electrical activity, particularly temporal behavior, is frequently chaotic.
- Existing models by Hindmarsh and Rose describe bursting and spiking activity in neurons.
Purpose of the Study:
- To investigate synchronization phenomena in coupled chaotic neuron models.
- To analyze the influence of coupling strength and synaptic delay on synchronization.
Main Methods:
- Utilized simplified models of chaotic neurons with coupled slow and fast subsystems.
- Employed tools for analyzing experimental data to study model neurons.
- Investigated both electrotonic and electrochemical coupling (inhibitory and excitatory) between two model neurons.
Main Results:
- Demonstrated in-phase and out-of-phase synchronization based on coupling strength.
- Showed that synchronization depends on time delays in synaptic coupling.
- Observed chaotic motion in synchronously inhibited or electrically coupled neurons.
- Found that excitatory coupling leads to synchronized, periodic voltage trajectories.
Conclusions:
- Coupled chaotic neuron models exhibit diverse synchronization behaviors.
- Synchronization patterns are sensitive to coupling type, strength, and time delays.
- These findings contribute to understanding neural network dynamics and information processing.