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SimBa: A Fuzzy Similarity-Based Modelling Framework for Large-Scale Cerebral Networks

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Artificial Neural Networks – ICANN 2007 (ICANN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4669))

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Abstract

Motivated by a better understanding of cerebral information processing, a lot of work has been done recently in bringing together connectionist numerical models and symbolic cognitive frameworks, allowing for a better modelling of some cerebral mechanisms. However, a gap still exists between models that describe functionally small neural populations and cognitive architectures that are used to predict cerebral activity. The model presented here tries to fill partly this gap. It uses existing knowledge of the brain structure to describe neuroimaging data in terms of interacting functional units. Its merits rely on an explicit handling of neural populations proximity in the brain, relating it to similarity between the pieces of information processed.

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Author information

Authors and Affiliations

  1. Inserm, U825, Toulouse, F-31000, France

    Julien Erny & Josette Pastor

  2. Université Toulouse III Paul Sabatier, Toulouse, F-31000, France

    Julien Erny & Josette Pastor

  3. CNRS, IRIT, Toulouse, F-31000, France

    Julien Erny & Henri Prade

Authors
  1. Julien Erny
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  2. Josette Pastor
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  3. Henri Prade
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Editor information

Joaquim Marques de Sá Luís A. Alexandre Włodzisław Duch Danilo Mandic

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© 2007 Springer-Verlag Berlin Heidelberg

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Erny, J., Pastor, J., Prade, H. (2007). SimBa: A Fuzzy Similarity-Based Modelling Framework for Large-Scale Cerebral Networks. In: de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D. (eds) Artificial Neural Networks – ICANN 2007. ICANN 2007. Lecture Notes in Computer Science, vol 4669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74695-9_4

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  • DOI: https://doi.org/10.1007/978-3-540-74695-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74693-5

  • Online ISBN: 978-3-540-74695-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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