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Workshop on Neuro IC Technology

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  • Workshops
When May 28, 2008
from 01:00 PM to 02:00 PM
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(Professors Jack Judy and Dejan Markovic, organizers, May 28, 2008)


workshop-spring-08.JPGThis one day workshop, sponsored by the Electrical Engineering Department, covers the state-of-the-art of integrated-circuit (IC) technology for multi-channel, wireless, high-performance, and low-power neural-signal recording systems.

The multidisciplinary workshop brings together leaders in the fields of IC design, telemetry systems, neural recording, brain-computer interfaces, neuroscience, neurology, and neurosurgery.

The goals of this intimate but high-caliber workshop are to identify and discuss:

  • State-of-the-art implementations of IC neurotechnology and the extent of their scientific/clinical use to date
  • Barriers to the wide-spread deployment, acceptance, and use of IC-neurotechnology systems
  • Recent IC-design and IC-technology advances that could be leveraged in next-generation IC neurotechnology


    I. Fried (UCLA)
    Microelectrode Recordings from the Human Brain During Cognitive Tasks

    R. Staba (UCLA)
    Chronic In-Vivo Macro- and Microelectrode Recordings in Humans

    P. P. Irazoqui (Purdue University)
    Clinical Prosthetic Devices for Glaucoma, Epilepsy, and Traumatic Brain Injury Repair

    A. V. Nurmikko (Brown University)
    Implantable Microsystems for Brain Interfaces

    T. Jochum (Duke University)
    Possible Impediments to Clinical Approval of Cortical Neural Recordings

    R. R. Hassiron (University of Utah)
    Development and Testing of the Utah Integrated Neural Interface

    W. Liu (UC Santa Cruz)
    Miniaturized Wireless Integrated Circuits for Neural Interface Applications

    P. Troyk (Illinois Institute of Technology)
    ASIC Designs for Neural Implants: Challenges and Solutions

    R. Campagnolo (CEA-LETI Minatec, France)
    Development of CMOS ASIC for Implantable Neurobiological Systems

    J. Judy (UCLA)
    System Architecture for Multichannel Wireless Neural Recording

    J. Harris (University of Florida)
    Pulse-based Signal Compression for Neural Recording

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