The Ornstein–Uhlenbeck neuronal model is investigated under the assumption that the amplitude of the noise is signal dependent. A linear approximation of the input–output transfer function is developed. Different types of dependencies of the noise on the signal are considered. The conditions are presented under which a substantial difference between transfer functions with constant and signal-dependent noise appears. An example for which the transfer function yields contra-intuitive behavior is presented.

The Ornstein-Uhlenbeck neuronal model with signal-dependent noise. / L. SACERDOTE; LANSKY P. - In: PHYSICS LETTERS A. - ISSN 0375-9601. - 285(2001), pp. 132-140.

The Ornstein-Uhlenbeck neuronal model with signal-dependent noise.

SACERDOTE, Laura Lea;
2001

Abstract

The Ornstein–Uhlenbeck neuronal model is investigated under the assumption that the amplitude of the noise is signal dependent. A linear approximation of the input–output transfer function is developed. Different types of dependencies of the noise on the signal are considered. The conditions are presented under which a substantial difference between transfer functions with constant and signal-dependent noise appears. An example for which the transfer function yields contra-intuitive behavior is presented.
285
132
140
Neuron model; Integrate and fire model; Input-output transfer function
L. SACERDOTE; LANSKY P
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/9706
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