Abstract
An interesting property of oscillatory responses in various areas of cat and monkey visual cortex as well as monkey sensorimotor cortex is that the local oscillations and spatial correlations do not persist during the whole stimulation. Instead they appear to switch between an oscillating/synchronized/regular state and a stochastic/uncorrelated/irregular state. We present a simple model for a local ensemble of neurons, which exhibits bistability of two such states, and switching between them. The bistability in the model is linked to a nonlinear lateral interaction function within the ensemble. In a spatially extended version of the model we also observe transient spatial correlations, which arise from a concurrent switching of several ensembles from the stochastic to the oscillatory state. Our model not only reproduces the high variability of the observed neuronal dynamics, but also has the potential for a very fast spatial synchronization due to simultanous switching. This latter aspect is important for an assessment of the possible role of oscillations and synchronization in vision algorithms.
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Bauer, HU., Pawelzik, K., Geisel, T. (1993). Emergence of Transient Oscillations in an Ensemble of Neurons. In: Gielen, S., Kappen, B. (eds) ICANN ’93. ICANN 1993. Springer, London. https://doi.org/10.1007/978-1-4471-2063-6_31
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DOI: https://doi.org/10.1007/978-1-4471-2063-6_31
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