On the relevance of time in neural computation and learning

  • Wolfgang Maass
Session 10
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1316)


We discuss models for computation in biological neural systems that are based on the current state of knowledge in neurophysiology. Differences and similarities to traditional neural network models are highlighted. It turns out that many important questions regarding computation and learning in biological neural systems cannot be adequately addressed in traditional neural network models. In particular the role of time is quite different in biologically more realistic models, and many fundamental questions regarding computation and learning have to be rethought for this context. Simultaneously a new generation of VLSI-chips is emerging (“pulsed VLSI”) where new ideas about computing and learning with temporal coding can be tested.

Articles with details and further pointers to the literature can be found at http://www.cis.tu-graz.ac.at/igi/maass/.


Depression Eter Odour Zucker 


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Copyright information

© Springer-Verlag 1997

Authors and Affiliations

  • Wolfgang Maass
    • 1
  1. 1.Institute for Theoretical Computer ScienceTechnische Universitaet GrazGrazAustria

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