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• W2022755404 abstract "Deterministic mathematical models of neural systems can give rise to complex aperiodic (`chaotic') dynamics in the absence of stochastic fluctuations (`noise') in the variables or parameters of the model or in the inputs to the system. The authors show that chaotic dynamics are expected in nonlinear feedback systems possessing time delays such as are found in recurrent inhibition and from the periodic forcing of neural oscillators. The implications of the possible occurrence of chaotic dynamics for experimental work and mathematical modeling of normal and abnormal functions neurophysiology are mentioned." @default.
• W2022755404 created "2016-06-24" @default.
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• W2022755404 date "1983-09-01" @default.
• W2022755404 modified "2023-10-18" @default.
• W2022755404 title "Chaos in neurobiology" @default.
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• W2022755404 doi "https://doi.org/10.1109/tsmc.1983.6313073" @default.
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