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On the Construction of Artificial Brains

  • Book
  • © 2010

Overview

  • Presents the neurocomputer of the second generation (dynamic pulsed neural networks and its implementation on semiconductors)
  • Well structured interdisciplinary and introductory book on artificial brains
  • Result of a cooperation (VisionIC) between industry (Infineon) and leading research groups in brain science and complexity
  • Uses experiment, theory and implementation in a balanced new way to construct artificial brains

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Table of contents (20 chapters)

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About this book

This book presents a first generation of artificial brains, using vision as sample application. An object recognition system is built, using neurons and synapses as exclusive building elements. The system contains a feature pyramid with 8 orientations and 5 resolution levels for 1000 objects and networks for binding of features into objects. This vision system can recognize objects robustly in the presence of changes in illumination, deformation, distance and pose (as long as object components remain visible).

The neuro-synaptic network owes its functional power to the introduction of rapidly modifiable dynamic synapses. These give a network greater pattern recognition capabilities than are achievable with fixed connections. The spatio-temporal correlation structure of patterns is captured by a single synaptic differential equation in a universal way. The correlation can appear as synchronous neural firing, which signals the presence of a feature in a robust way, or binds features into objects.

Although in this book we can present only a first generation artificial brain and believe many more generations will have to follow to reach the full power of the human brain, we nevertheless see a new era of computation on the horizon. There were times when computers, with their precision, reliability and blinding speed, were considered to be as superior to the wet matter of our brain as a jet plane is to a sparrow. These times seem to be over, given the fact that digital systems inspired by formal logic and controlled algorithmically - today's computers - are hitting a complexity crisis. A paradigm change is in the air: from the externally organised to the self-organised computer, of which the results described in this book may give an inkling.

Authors and Affiliations

  • Head of System Engineering, COM SDR, Infineon Technologies AG, Munich, Germany

    Ulrich Ramacher

  • Frankfurt Institute for Advanced Studies, Frankfurt a. M., Germany

    Christoph Malsburg

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