We report some existing work, inspired by analogies between human thought and machine computation, showing that the informational state of a digital computer can be decoded in a similar way to brain decoding. We then discuss some proposed work that would leverage this analogy to shed light on the amount of information that may be missed by the technical limitations of current neuroimaging technologies.

Dell'Arciprete, L., Murphy, B., Zanzotto, F.m. (2012). Parallels between Machine and Brain Decoding. In Brain Informatics 2012 (pp. 162-174). BERLIN HEIDELBERG -- DEU : Springer-Verlag [10.1007/978-3-642-35139-6_16].

Parallels between Machine and Brain Decoding

ZANZOTTO, FABIO MASSIMO
2012-01-01

Abstract

We report some existing work, inspired by analogies between human thought and machine computation, showing that the informational state of a digital computer can be decoded in a similar way to brain decoding. We then discuss some proposed work that would leverage this analogy to shed light on the amount of information that may be missed by the technical limitations of current neuroimaging technologies.
2012
Settore INF/01 - INFORMATICA
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
English
Rilevanza internazionale
Capitolo o saggio
Brain Imaging; Simulated Brain Imaging; fMRI; EEG
Dell'Arciprete, L., Murphy, B., Zanzotto, F.m. (2012). Parallels between Machine and Brain Decoding. In Brain Informatics 2012 (pp. 162-174). BERLIN HEIDELBERG -- DEU : Springer-Verlag [10.1007/978-3-642-35139-6_16].
Dell'Arciprete, L; Murphy, B; Zanzotto, Fm
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/105623
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