Computational Intelligence in Electrophysiology: Trends and Open Problems

Gunay, C.; Smolinski, T.G.; Lytton, W.W.; Morse, T.M.; Gleeson, P.; Crook, S.; Steuber, Volker; Silver, R.A.; Voicu, H.; Andrews, P.; Bokil, H.; Maniar, H.; Loader, C.; Mehta, S.; Kleinfeld, D.; Thomson, D.; Mitra, P.P.; Aaron, G.; Fellous, J-M.

Author

Gunay, C.

Smolinski, T.G.

Lytton, W.W.

Morse, T.M.

Gleeson, P.

Crook, S.

Steuber, Volker

Silver, R.A.

Voicu, H.

Andrews, P.

Bokil, H.

Maniar, H.

Loader, C.

Mehta, S.

Kleinfeld, D.

Thomson, D.

Mitra, P.P.

Aaron, G.

Fellous, J-M.

Abstract

This chapter constitutes mini-proceedings of the Workshop on Physiology Databases and Analysis Software that was a part of the Annual Computational Neuroscience Meeting CNS*2007 that took place in July 2007 in Toronto, Canada (http ://www.cnsorg.org). The main aim of the workshop was to bring together researchers interested in developing and using automated analysis tools and database systems for electrophysiological data. Selected discussed topics, including the review of some current and potential applications of Computational Intelligence (CI) in electrophysiology, database and electrophysiological data exchange platforms, languages, and formats, as well as exemplary analysis problems, are presented in this chapter. The authors hope that the chapter will be useful not only to those already involved in the field of electrophysiology, but also to CI researchers, whose interest will be sparked by its contents.