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Empirically testable models are needed for understanding visual prediction

Published online by Cambridge University Press:  14 May 2008

Giuseppe Trautteur ,
Edoardo Datteri  and
Matteo Santoro
Giuseppe Trautteur
Affiliation:
Dipartimento di Scienze Fisiche, Università di Napoli Federico II, Complesso Universitario Monte Sant'Angelo, NA 80126 Napoli, Italy; trau@na.infn.it
Edoardo Datteri
Affiliation:
Dipartimento di Scienze Umane per la Formazione “Riccardo Massa”, Università degli Studi di Milano-Bicocca, MI 20126 Milano, Italy; edoardo.datteri@unimib.ithttp://ethicbots.na.infn.it/datteri/
Matteo Santoro
Affiliation:
DISI, Universita' degli Studi di Genova, GE 16146 Genova, Italy. matteo.santoro@disi.unige.it
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Abstract

Nijhawan argues convincingly that predictive mechanisms are pervasive in the central nervous system (CNS). However, scientific understanding of visual prediction requires one to formulate empirically testable neurophysiological models. The author's suggestions in this direction are to be evaluated on the basis of more realistic experimental methodologies and more plausible assumptions on the hierarchical character of the human visual cortex.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 31 , Issue 2 , April 2008 , pp. 217 - 218
Copyright
Copyright ©Cambridge University Press 2008

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