Parallels between machine and brain decoding

L. Dell'Arciprete; F.M. Zanzotto; B. Murphy

doi:10.1007/978-3-642-35139-6_16

Parallels between machine and brain decoding

L. Dell'Arciprete, F.M. Zanzotto, B. Murphy

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	162-174
Number of pages	13
Volume	7670 LNAI
DOIs	https://doi.org/10.1007/978-3-642-35139-6_16
Publication status	Published - 01 Jan 2012

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Parallels between machine and brain decoding

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