The NeuroProcessor

An Integrated Interface to Biological Neural Networks

  • Yevgeny Perelman
  • Ran Ginosar

Table of contents

  1. Front Matter
    Pages I-VII
  2. Yevgeny Perelman, Ran Ginosar
    Pages 1-4
  3. Yevgeny Perelman, Ran Ginosar
    Pages 5-21
  4. Yevgeny Perelman, Ran Ginosar
    Pages 23-26
  5. Yevgeny Perelman, Ran Ginosar
    Pages 27-38
  6. Yevgeny Perelman, Ran Ginosar
    Pages 39-67
  7. Yevgeny Perelman, Ran Ginosar
    Pages 69-80
  8. Yevgeny Perelman, Ran Ginosar
    Pages 81-92
  9. Yevgeny Perelman, Ran Ginosar
    Pages 93-96
  10. Back Matter
    Pages 113-122

About this book

Introduction

Neuronal electronic interfaces carry significant potential for scientific research and medical applications. Neuroprosthetics may help to restore damaged sensory and motor brain functionality. Neuronal interfaces are evolving into complex micro-fabricated arrays of hundreds or thousands of sensors, and require tighter integration, advanced embedded computation, and wireless communication. At the very least, the electronic circuit of the implanted neuronal interface must acquire the data and transmit it outside. However, the huge data rates produced by large-scale neuronal interfaces exceed the communication bandwidth provided by low-power wireless channels. Hence, extensive embedded computations must be integrated into the interface in order to reduce the amount of transmitted data.

This book presents the Neuroprocessor, a novel computational neuronal interface device implemented in VLSI technology. In addition to neuronal signals acquisition, it can process the data, generate stimuli and transmit the data over wireless channels, while using minimum electric energy.

The NeuroProcessor opens with a brief background on neuronal communication and microelectrode recording. It introduces three generations of the Neuroprocessor and presents their architecture, circuits and algorithms. Applications to a miniature head-stage for in-vivo experiments and multi-electrode arrays for in-vitro studies are described.

Keywords

Brain-computer interfaces Mixed signal digital and analog integrated circuits Neuronal recording Neuroprocessor VLSI algorithms artificial intelligence brain-machine interfaces neurons

Authors and affiliations

  • Yevgeny Perelman
    • 1
  • Ran Ginosar
    • 1
  1. 1.Dept. Electrical EngineeringTechnion-Israel Institute of TechnologyIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-8726-4
  • Copyright Information Springer Science+Business Media B.V. 2008
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-1-4020-8725-7
  • Online ISBN 978-1-4020-8726-4
  • About this book