Learning of sparse auditory receptive fields

被引：4

作者：

Körding, KP ^{[1
]}

König, P ^{[1
]}

Klein, DJ ^{[1
]}

机构：

[1] Univ Zurich, ETH Zurich, Inst Neuroinformat, CH-8057 Zurich, Switzerland

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

10.1109/IJCNN.2002.1007648

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 elect rophysiological experiments.

引用

页码：1103 / 1108

页数：4

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