Fisher information quantifies task-specific performance in the blowfly photoreceptor

Peng Xu; Pamela Abshire

doi:10.1109/IJCNN.2005.1555842

Fisher information quantifies task-specific performance in the blowfly photoreceptor

Peng Xu
, Pamela Abshire

Electrical Engineering

Stony Brook University

University of Maryland, College Park

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

2 Scopus citations

Abstract

Performance on specific tasks in an organism's everyday activities is essential to survival. In this paper, we extend information-theoretic investigation of neural systems to task specific information using a detailed biophysical model of the blowfly photoreceptor. We formulate the response of the photoreceptor to incident flashes and determine the optimal detection performance using ideal observer analysis. Furthermore, we derive Fisher information contained in the output of the photoreceptor, and show how Fisher information is related to the detection performance. In addition we use Fisher information to show the connections between detection performance, signal-noise ratio, and discriminability. Our detailed biophysical model of the blowfly photoreceptor provides a rich framework for information-theoretic study of neural systems.

Original language	English
Title of host publication	Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005
Pages	274-279
Number of pages	6
DOIs	https://doi.org/10.1109/IJCNN.2005.1555842
State	Published - 2005
Event	International Joint Conference on Neural Networks, IJCNN 2005 - Montreal, QC, Canada Duration: Jul 31 2005 → Aug 4 2005

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	1

Conference

Conference	International Joint Conference on Neural Networks, IJCNN 2005
Country/Territory	Canada
City	Montreal, QC
Period	07/31/05 → 08/4/05

Access to Document

10.1109/IJCNN.2005.1555842

Cite this

@inproceedings{8fad6405820a4424849457ed7b189b8a,

title = "Fisher information quantifies task-specific performance in the blowfly photoreceptor",

abstract = "Performance on specific tasks in an organism's everyday activities is essential to survival. In this paper, we extend information-theoretic investigation of neural systems to task specific information using a detailed biophysical model of the blowfly photoreceptor. We formulate the response of the photoreceptor to incident flashes and determine the optimal detection performance using ideal observer analysis. Furthermore, we derive Fisher information contained in the output of the photoreceptor, and show how Fisher information is related to the detection performance. In addition we use Fisher information to show the connections between detection performance, signal-noise ratio, and discriminability. Our detailed biophysical model of the blowfly photoreceptor provides a rich framework for information-theoretic study of neural systems.",

author = "Peng Xu and Pamela Abshire",

year = "2005",

doi = "10.1109/IJCNN.2005.1555842",

language = "English",

isbn = "0780390482",

series = "Proceedings of the International Joint Conference on Neural Networks",

pages = "274--279",

booktitle = "Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005",

note = "International Joint Conference on Neural Networks, IJCNN 2005 ; Conference date: 31-07-2005 Through 04-08-2005",

}

Xu, P & Abshire, P 2005, Fisher information quantifies task-specific performance in the blowfly photoreceptor. in Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005., 1555842, Proceedings of the International Joint Conference on Neural Networks, vol. 1, pp. 274-279, International Joint Conference on Neural Networks, IJCNN 2005, Montreal, QC, Canada, 07/31/05. https://doi.org/10.1109/IJCNN.2005.1555842

Fisher information quantifies task-specific performance in the blowfly photoreceptor. / Xu, Peng; Abshire, Pamela.
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005. 2005. p. 274-279 1555842 (Proceedings of the International Joint Conference on Neural Networks; Vol. 1).

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

TY - GEN

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AU - Xu, Peng

AU - Abshire, Pamela

PY - 2005

Y1 - 2005

N2 - Performance on specific tasks in an organism's everyday activities is essential to survival. In this paper, we extend information-theoretic investigation of neural systems to task specific information using a detailed biophysical model of the blowfly photoreceptor. We formulate the response of the photoreceptor to incident flashes and determine the optimal detection performance using ideal observer analysis. Furthermore, we derive Fisher information contained in the output of the photoreceptor, and show how Fisher information is related to the detection performance. In addition we use Fisher information to show the connections between detection performance, signal-noise ratio, and discriminability. Our detailed biophysical model of the blowfly photoreceptor provides a rich framework for information-theoretic study of neural systems.

AB - Performance on specific tasks in an organism's everyday activities is essential to survival. In this paper, we extend information-theoretic investigation of neural systems to task specific information using a detailed biophysical model of the blowfly photoreceptor. We formulate the response of the photoreceptor to incident flashes and determine the optimal detection performance using ideal observer analysis. Furthermore, we derive Fisher information contained in the output of the photoreceptor, and show how Fisher information is related to the detection performance. In addition we use Fisher information to show the connections between detection performance, signal-noise ratio, and discriminability. Our detailed biophysical model of the blowfly photoreceptor provides a rich framework for information-theoretic study of neural systems.

UR - https://www.scopus.com/pages/publications/33745968926

U2 - 10.1109/IJCNN.2005.1555842

DO - 10.1109/IJCNN.2005.1555842

M3 - Conference contribution

SN - 0780390482

SN - 9780780390485

T3 - Proceedings of the International Joint Conference on Neural Networks

SP - 274

EP - 279

BT - Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005

T2 - International Joint Conference on Neural Networks, IJCNN 2005

Y2 - 31 July 2005 through 4 August 2005

ER -

Fisher information quantifies task-specific performance in the blowfly photoreceptor

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