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Information Routing, Correspondence Finding, and Object Recognition in the Brain

  • Philipp Wolfrum

Part of the Studies in Computational Intelligence book series (SCI, volume 316)

Table of contents

  1. Front Matter
  2. Philipp Wolfrum
    Pages 1-3
  3. Philipp Wolfrum
    Pages 5-27
  4. Philipp Wolfrum
    Pages 69-89
  5. Philipp Wolfrum
    Pages 91-108
  6. Philipp Wolfrum
    Pages 123-126
  7. Back Matter

About this book

Introduction

This book covers recent research on cortical signal processing and plasticity, with an emphasis on object recognition. Differently from other texts which study the behavior of single neurons, however, the focus here is on assemblies of neurons and how they can collectively represent information patterns and their dynamic relationships. This viewpoint leads to novel concepts for how the brain routes information in a purposeful way, how it detects correspondences between patterns, and how sensory inputs are recognized. To illustrate the function of these concepts, the author proceeds to develop several concrete neural models, including a powerful system for face recognition. Other parts of the book treat the question which neural substrates are necessary for such capabilities, and how they can self-organize in the developing organism. While most of the explicit examples in the book are drawn from vision, the concepts described apply to all areas of neural function from sensory perception to motor control to abstract reasoning. Consequently, readership is aimed at all students and researchers in neuroscience interested in exploring new paradigms of brain function. Experimentalists may draw inspiration from the book for designing anatomical and physiological experiments that lead the way from the current focus on static receptive fields to investigating the dynamic, functional connectivity of cortex. Theoreticians are invited to incorporate the discussed concepts into their own modeling, and to improve on the models presented in the book. While familiarity with the basic notions of theoretical neuroscience is useful for enjoying this book, it also offers to those without a vision background an introduction to the function of the mammalian visual pathway, as well as a broad discussion of different computer vision approaches to object recognition.

Keywords

Brain Correspondence Finding Cortex Cortical Networks Information Routing Object Recognition Selforganization Sensor model modeling

Authors and affiliations

  • Philipp Wolfrum
    • 1
  1. 1. MunichGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15254-2
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-15253-5
  • Online ISBN 978-3-642-15254-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site