Multiple timescales of adaptation in a neural code

Adrienne L. Fairhall; Geoffrey D. Lewen; William Bialek; Robert R. De Ruyter Van Steveninck

Multiple timescales of adaptation in a neural code

Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek, Robert R. De Ruyter Van Steveninck

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Many neural systems extend their dynamic range by adaptation. We examine the timescales of adaptation in the context of dynamically modulated rapidly-varying stimuli, and demonstrate in the fly visual system that adaptation to the statistical ensemble of the stimulus dynamically maximizes information transmission about the time-dependent stimulus. Further, while the rate response has long transients, the adaptation takes place on timescales consistent with optimal variance estimation.

Original language	English (US)
Title of host publication	Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000
Publisher	Neural information processing systems foundation
ISBN (Print)	0262122413, 9780262122412
State	Published - Jan 1 2001
Event	14th Annual Neural Information Processing Systems Conference, NIPS 2000 - Denver, CO, United States Duration: Nov 27 2000 → Dec 2 2000

Other

Other	14th Annual Neural Information Processing Systems Conference, NIPS 2000
Country/Territory	United States
City	Denver, CO
Period	11/27/00 → 12/2/00

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Signal Processing

Cite this

@inproceedings{28ac7aa0211c4d6da0c3e97daad3b65c,

title = "Multiple timescales of adaptation in a neural code",

abstract = "Many neural systems extend their dynamic range by adaptation. We examine the timescales of adaptation in the context of dynamically modulated rapidly-varying stimuli, and demonstrate in the fly visual system that adaptation to the statistical ensemble of the stimulus dynamically maximizes information transmission about the time-dependent stimulus. Further, while the rate response has long transients, the adaptation takes place on timescales consistent with optimal variance estimation.",

author = "Fairhall, {Adrienne L.} and Lewen, {Geoffrey D.} and William Bialek and {De Ruyter Van Steveninck}, {Robert R.}",

year = "2001",

month = jan,

day = "1",

language = "English (US)",

isbn = "0262122413",

booktitle = "Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000",

publisher = "Neural information processing systems foundation",

note = "14th Annual Neural Information Processing Systems Conference, NIPS 2000 ; Conference date: 27-11-2000 Through 02-12-2000",

}

Fairhall, AL, Lewen, GD, Bialek, W & De Ruyter Van Steveninck, RR 2001, Multiple timescales of adaptation in a neural code. in Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000. Neural information processing systems foundation, 14th Annual Neural Information Processing Systems Conference, NIPS 2000, Denver, CO, United States, 11/27/00.

TY - GEN

T1 - Multiple timescales of adaptation in a neural code

AU - Fairhall, Adrienne L.

AU - Lewen, Geoffrey D.

AU - Bialek, William

AU - De Ruyter Van Steveninck, Robert R.

PY - 2001/1/1

Y1 - 2001/1/1

N2 - Many neural systems extend their dynamic range by adaptation. We examine the timescales of adaptation in the context of dynamically modulated rapidly-varying stimuli, and demonstrate in the fly visual system that adaptation to the statistical ensemble of the stimulus dynamically maximizes information transmission about the time-dependent stimulus. Further, while the rate response has long transients, the adaptation takes place on timescales consistent with optimal variance estimation.

AB - Many neural systems extend their dynamic range by adaptation. We examine the timescales of adaptation in the context of dynamically modulated rapidly-varying stimuli, and demonstrate in the fly visual system that adaptation to the statistical ensemble of the stimulus dynamically maximizes information transmission about the time-dependent stimulus. Further, while the rate response has long transients, the adaptation takes place on timescales consistent with optimal variance estimation.

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UR - http://www.scopus.com/inward/citedby.url?scp=84899001184&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84899001184

SN - 0262122413

SN - 9780262122412

BT - Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000

PB - Neural information processing systems foundation

T2 - 14th Annual Neural Information Processing Systems Conference, NIPS 2000

Y2 - 27 November 2000 through 2 December 2000

ER -

Multiple timescales of adaptation in a neural code

Abstract

Other

All Science Journal Classification (ASJC) codes

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Cite this