Abstract
A model of a large population of excitable neurons with a globally slowly decaying inhibitory coupling is studied. A homogeneous network exhibits homogeneous solutions as well as cluster states. When the homogeneous and deterministic network is fully synchronized, stochastic noise cause the neurons to skip bursts. In addition to a synchronized periodic and asynchronous regimes, a heterogeneous network exhibits two novel regimes, one is partially synchronized and the other is partially asynchronized.
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© 1994 Springer Science+Business Media New York
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Golomb, D., Rinzel, J. (1994). Synchronization among heterogeneous inhibitory RTN neurons globally coupled. In: Eeckman, F.H. (eds) Computation in Neurons and Neural Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2714-5_5
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DOI: https://doi.org/10.1007/978-1-4615-2714-5_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6169-5
Online ISBN: 978-1-4615-2714-5
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