[info] [Comp-neuro] CNS 2007 : Workshop

[Eugen Leitl]

----- Forwarded message from Mini P Kurian <minikurian at gmail.com> -----

From: Mini P Kurian <minikurian at gmail.com>
Date: Sun, 15 Apr 2007 08:34:09 -0400
To: comp-neuro at neuroinf.org
Subject: [Comp-neuro] CNS 2007 : Workshop


   Call for Participation:
   Workshop on Neuro-Machine Interfaces: Integrating Biology and
   Technology to Develop Functionally Relevant Devices
   CNS 2007
   Toronto, Canada
   July 12,  2007
   [1]http://www.cnsorg.org/cns_meeting_workshops.htm 
   
   Description:
   A half-day workshop.
   Website: [2]http://www.public.asu.edu/~mputhaya/CNS2007Workshop/
   Neuroprosthetics are artificial extensions that replace or improve the
   function of an impaired nervous system.  Some examples of
   neuroprosthetics include: cochlear implants, retinal implants,
   cortical implants, and functional neuromuscular stimulation (FNS)
   electrodes.  Neuro-machine interfaces (NMI) use neuroprosthetics to
   read signals from neurons and then computers and algorithms are used
   to translate those signals into desired actions.

   Successful development of functional neuroprosthetics requires an
   interdisciplinary approach, involving experimentalists to understand
   the physiology and behavior of the nervous system, engineers to
   develop adaptive biocompatible devices, clinicians to implement and
   study the interaction between the device and the patient, and
   computational modelers to integrate the diverse approaches.

   There are still many important issues that must be addressed for NMI
   development, such as a need for fully-implantable biocompatible
   devices, real-time computational algorithms, efficient neural signal
   acquisition and processing, and improved sensory feedback with links
   to motor output.  Perhaps the most important issue in NMI development
   is optimizing the behavior of the combined system (biological and
   technological) by fully utilizing the plasticity of the nervous
   system.

   How can computational neuroscience help address these issues?  This
   workshop will explore some of the major challenges in interfacing
   biological adaptive systems with adaptive NMI devices:
     * Given that the human nervous system is more complex than in vitro
       preparations and different from in vivo animal models how do we
       transform an experimental device from a laboratory setting to a
       clinically relevant device?

     * How can computational neuroscientists help in improving the design
       of experimental devices?  How biologically accurate do models have
       to be, and on what scales, in order to positively contribute to
       technological development?

     * There is a problem in NMI of both too little and too much data.
       The number of channels available to interact with the nervous
       system is limited, while the amount of raw voltage vs. time data
       acquired from probes can be overwhelming.  How can computational
       neuroscientists help to maximize use of limited channel data,
       while extracting only useful information?

     * How do we incorporate and take advantage of the properties of the
       musculoskeletal system in order to maximize the utility and
       effectiveness of NMI devices?

     * The nervous system is adaptive, so NMI control algorithms have to
       be versatile enough to accommodate this plasticity.  How can we
       design NMI control algorithms that promote adaptive plasticity in
       the nervous system throughout the time course of that adaptation?

    Structure:

   This will be a half-day workshop, consisting of two or three invited
   talks, additional short presentations, and a panel discussion.
   Attendance is open to all CNS attendees.

   Those interested in presenting are invited to contact the workshop
   organizer.
   Contact: [3]kurian at mathpost.la.asu.edu
   Organizers:
   Mini Kurian1, 4, Joe Graham 2, 4, Sharon Crook1, 3, 4, Ranu Jung2, 4
   1Department of Mathematics and Statistics
   2Harrington Department of Bioengineering
   3School of Life Science
   4Center for Adaptive Neural Systems at the Biodesign Institute
   Arizona State University

References

   1. http://www.cnsorg.org/cns_meeting_workshops.htm
   2. http://www.public.asu.edu/%7Emputhaya/CNS2007Workshop/
   3. mailto:kurian at mathpost.la.asu.edu

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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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