Learning of sparse auditory receptive fields

Konrad P. Körding; Peter König; David J. Klein

Learning of sparse auditory receptive fields

Konrad P. Körding^*, Peter König, David J. Klein

^*Corresponding author for this work

Physical Medicine and Rehabilitation

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

17 Scopus citations

Abstract

It is largely unknown how the properties of the auditory system relate to the properties of natural sounds. Here, we analyze representations of simulated neurons that have optimally sparse activity in response to spectrotemporal speech data. These representations share important properties with auditory neurons as determined in electrophysiological experiments.

Original language	English (US)
Title of host publication	Proceedings of the International Joint Conference on Neural Networks
Pages	1103-1108
Number of pages	6
Volume	2
State	Published - Jan 1 2002
Event	2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States Duration: May 12 2002 → May 17 2002

Other

Other	2002 International Joint Conference on Neural Networks (IJCNN '02)
Country/Territory	United States
City	Honolulu, HI
Period	5/12/02 → 5/17/02

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

@inproceedings{b1d78774282041faab439c6218e45800,

title = "Learning of sparse auditory receptive fields",

abstract = "It is largely unknown how the properties of the auditory system relate to the properties of natural sounds. Here, we analyze representations of simulated neurons that have optimally sparse activity in response to spectrotemporal speech data. These representations share important properties with auditory neurons as determined in electrophysiological experiments.",

author = "K{\"o}rding, {Konrad P.} and Peter K{\"o}nig and Klein, {David J.}",

year = "2002",

month = jan,

day = "1",

language = "English (US)",

volume = "2",

pages = "1103--1108",

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

note = "2002 International Joint Conference on Neural Networks (IJCNN '02) ; Conference date: 12-05-2002 Through 17-05-2002",

}

TY - GEN

T1 - Learning of sparse auditory receptive fields

AU - Körding, Konrad P.

AU - König, Peter

AU - Klein, David J.

PY - 2002/1/1

Y1 - 2002/1/1

N2 - It is largely unknown how the properties of the auditory system relate to the properties of natural sounds. Here, we analyze representations of simulated neurons that have optimally sparse activity in response to spectrotemporal speech data. These representations share important properties with auditory neurons as determined in electrophysiological experiments.

AB - It is largely unknown how the properties of the auditory system relate to the properties of natural sounds. Here, we analyze representations of simulated neurons that have optimally sparse activity in response to spectrotemporal speech data. These representations share important properties with auditory neurons as determined in electrophysiological experiments.

UR - http://www.scopus.com/inward/record.url?scp=0036073115&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036073115&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0036073115

VL - 2

SP - 1103

EP - 1108

BT - Proceedings of the International Joint Conference on Neural Networks

T2 - 2002 International Joint Conference on Neural Networks (IJCNN '02)

Y2 - 12 May 2002 through 17 May 2002

ER -

Learning of sparse auditory receptive fields

Abstract

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ASJC Scopus subject areas

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