Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Models and Properties of Power-Law Adaptation in Neural Systems Patrick J. Drew and L. F. Abbott
 

Summary: Models and Properties of Power-Law Adaptation in Neural Systems
Patrick J. Drew and L. F. Abbott
Neurobiology Section 0357, Division of Biology, University of California at San Diego, La Jolla, California; and Center for Neurobiology
and Behavior, Department of Physiology and Cellular Biophysics, Columbia University College of Physicians and Surgeons,
New York, New York
Submitted 8 February 2006; accepted in final form 23 April 2006
Drew, Patrick J. and L. F. Abbott. Models and properties of
power-law adaptation in neural systems. J Neurophysiol 96: 826833,
2006. First published April 26, 2006; doi:10.1152/jn.00134.2006.
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 proper-
ties 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

  

Source: Abbott, Laurence - Center for Neurobiology and Behavior & Department of Physiology and Cellular Biophysics, Columbia University

 

Collections: Biology and Medicine