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Reading What Machines “Think”

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Brain Informatics (BI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5819))

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Abstract

In this paper, we want to farther advance the parallelism between models of the brain and computing machines. We want to apply the same idea underlying neuroimaging techniques to electronic computers. Applying this parallelism, we can address these two questions: (1) how far we can go with neuroimaging in understanding human mind? (foundational perspective); (2) can we understand what computers “think”? (applicative perspective). Our experiments demonstrate that it is possible to believe that both questions have positive answers.

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Author information

Authors and Affiliations

  1. University of Rome Tor Vergata, 00133, Roma, Italy

    Fabio Massimo Zanzotto & Danilo Croce

Authors
  1. Fabio Massimo Zanzotto
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  2. Danilo Croce
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Editor information

Editors and Affiliations

  1. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, 371.0816, Maebashi-City, Japan

    Ning Zhong

  2. Department of Radiology, Xuanwu Hospital of Capital Medical University, 100053, Beijing, People’s Republic of China

    Kuncheng Li

  3. The International WIC Institute, Beijing University of Technology, China

    Shengfu Lu

  4. Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyng District, 100101, Beijing, China

    Lin Chen

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© 2009 Springer-Verlag Berlin Heidelberg

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Zanzotto, F.M., Croce, D. (2009). Reading What Machines “Think”. In: Zhong, N., Li, K., Lu, S., Chen, L. (eds) Brain Informatics. BI 2009. Lecture Notes in Computer Science(), vol 5819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04954-5_26

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  • DOI: https://doi.org/10.1007/978-3-642-04954-5_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04953-8

  • Online ISBN: 978-3-642-04954-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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