Learning of sparse auditory receptive fields

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations


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 languageEnglish (US)
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Number of pages6
StatePublished - Jan 1 2002
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
Duration: May 12 2002May 17 2002


Other2002 International Joint Conference on Neural Networks (IJCNN '02)
Country/TerritoryUnited States
CityHonolulu, HI

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


Dive into the research topics of 'Learning of sparse auditory receptive fields'. Together they form a unique fingerprint.

Cite this