Abstract
Biological and artificial neural networks that consist of coupled neural oscillators receive much attention in neural network modelling nowadays. The construction of a network of this type requires the selection of a mathematical model for a single neural oscillator and the choice of a mechanism to couple the oscillators. Furthermore, one can consider neural oscillators that are all identical to each other or oscillators with different parameters (e.g., different intrinsic frequencies).
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© 1992 Birkhäuser Verlag Basel
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Khibnik, A.I., Borisyuk, R.M., Roose, D. (1992). Numerical Bifurcation Analysis of a Model of Coupled Neural Oscillators. In: Allgower, E.L., Böhmer, K., Golubitsky, M. (eds) Bifurcation and Symmetry. International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série Internationale d’Analyse Numérique, vol 104. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-7536-3_19
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DOI: https://doi.org/10.1007/978-3-0348-7536-3_19
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