HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) All Versions of this Article: 96/2/826    most recent 00134.2006v1 Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via ISI Web of Science (9) Citing Articles via Google Scholar Google Scholar Articles by Drew, P. J. Articles by Abbott, L. F. Search for Related Content PubMed PubMed Citation Articles by Drew, P. J. Articles by Abbott, L. F.

Models and Properties of Power-Law Adaptation in Neural Systems

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

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 article has been cited by other articles:

				M. H. Hennig, M. Postlethwaite, I. D. Forsythe, and B. P. Graham Interactions between multiple sources of short-term plasticity during evoked and spontaneous activity at the rat calyx of Held J. Physiol., July 1, 2008; 586(13): 3129 - 3146. [Abstract] [Full Text] [PDF]

				V. Marlinski and R. A. McCrea Activity of Ventroposterior Thalamus Neurons During Rotation and Translation in the Horizontal Plane in the Alert Squirrel Monkey J Neurophysiol, May 1, 2008; 99(5): 2533 - 2545. [Abstract] [Full Text] [PDF]

				K. Linkenkaer-Hansen, D. J. A. Smit, A. Barkil, T. E. M. van Beijsterveldt, A. B. Brussaard, D. I. Boomsma, A. van Ooyen, and E. J. C. de Geus Genetic Contributions to Long-Range Temporal Correlations in Ongoing Oscillations J. Neurosci., December 12, 2007; 27(50): 13882 - 13889. [Abstract] [Full Text] [PDF]

				A. Kohn Visual Adaptation: Physiology, Mechanisms, and Functional Benefits J Neurophysiol, May 1, 2007; 97(5): 3155 - 3164. [Abstract] [Full Text] [PDF]

				M. Arsiero, H.-R. Luscher, B. N. Lundstrom, and M. Giugliano The Impact of Input Fluctuations on the Frequency-Current Relationships of Layer 5 Pyramidal Neurons in the Rat Medial Prefrontal Cortex J. Neurosci., March 21, 2007; 27(12): 3274 - 3284. [Abstract] [Full Text] [PDF]