Models and Properties of Power-Law Adaptation in Neural Systems
- 1 August 2006
- journal article
- Published by American Physiological Society in Journal of Neurophysiology
- Vol. 96 (2), 826-833
- https://doi.org/10.1152/jn.00134.2006
Abstract
Many biological systems exhibit complex temporal behavior that cannot be adequately characterized by a single time constant. This dynamics, observed from single channels up to the level of human psychophysics, is often better described by power-law rather than exponential dependences on time. We develop and study the properties of neural models with scale-invariant, power-law adaptation and contrast them with the more commonly studied exponential case. Responses of an adapting firing-rate model to constant, pulsed, and oscillating inputs in both the power-law and exponential cases are considered. We construct a spiking model with power-law adaptation based on a nested cascade of processes and show that it can be “programmed” to produce a wide range of time delays. Finally, within a network model, we use power-law adaptation to reproduce long-term features of the tilt aftereffect.This publication has 44 references indexed in Scilit:
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