Title
Noise-driven adaptation: in vitro and mathematical analysis.
Abstract
Variance adaptation processes have recently been examined in cells of the fly visual system and various vertebrate preparations. To better understand the contributions of somatic mechanisms to this kind of adaptation, we recorded intracellularly in vitro from neurons of rat sensorimotor cortex. The cells were stimulated with a noise current whose standard deviation was varied parametrically. We observed systematic variance-dependent adaptation (defined as a scaling of a nonlinear transfer function) similar in many respects to the effects observed in vivo. The fact that similar adaptive phenomena are seen in such different preparations led us to investigate a simple model of stochastic stimulus-driven neural activity. The simplest such model, the leaky integrate-and-fire (LIF) cell driven by noise cur-rent, permits us to analytically compute many quantities relevant to our observations on adaptation. We show that the LIF model displays "adaptive" behavior which is quite similar to the effects observed in vivo and in vitro. (C) 2003 Elsevier Science B.V. All rights reserved.
Year
DOI
Venue
2003
10.1016/S0925-2312(02)00819-6
NEUROCOMPUTING
Keywords
Field
DocType
adaptation,noise,integrate-and-fire,Fokker-Planck
Fokker–Planck equation,Biological system,Pattern recognition,In vitro,Neural activity,In vivo,Nonlinear transfer function,Sensorimotor cortex,Artificial intelligence,Standard deviation,Scaling,Mathematics
Journal
Volume
Issue
ISSN
52-4
2
0925-2312
Citations 
PageRank 
References 
10
2.12
2
Authors
3
Name
Order
Citations
PageRank
Liam Paninski192699.30
Brian Lau2154.00
Alex Reyes3102.12