Oscillations, complex spatiotemporal behavior, and information transport in networks of excitatory and inhibitory neurons.
作者： Alain Destexhe
关键词: Mathematics 、 Diffusion (business) 、 Excitatory postsynaptic potential 、 Turbulence 、 Phase (waves) 、 Artificial neural network 、 Biological system 、 Inhibitory postsynaptic potential 、 Lyapunov exponent 、 Chaotic
摘要: Various types of spatiotemporal behavior are described for two-dimensional networks excitatory and inhibitory neurons with time delayed interactions. It is how the network behaves as several structural parameters varied, such number neurons, connectivity, values synaptic weights. A transition from spatially uniform oscillations to chaos via intermittentlike observed. The properties spatiotemporally chaotic solutions investigated by evaluating largest positive Lyapunov exponent loss correlation distance. Finally, information transport evaluated during chaos. shown that diffusion coefficient increases significantly in phase similar increase coefficients at onset fluid turbulence. proposed a property should be seen other media, chemical turbulence or oscillators. possibility measuring appropriate experiments also discussed.
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