BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Computational Neuroscience Journal Club - Hugo Vincent (University
  of Cambridge)
DTSTART:20100111T160000Z
DTEND:20100111T170000Z
UID:TALK22461@talks.cam.ac.uk
CONTACT:Dr Jean-Pascal Pfister
DESCRIPTION:Hugo Vincent will present\n\nThe Muscle Activation Method: An 
 Approach to Impedance Control of Brain-Machine Interfaces Through a Muscul
 oskeletal Model of the Arm\nKim\, H.K.\; Carmena\, J.M.\; Biggs\, S.J.\; H
 anson\, T.L.\; Nicolelis\, M.A.L.\; Srinivasan\, M.A.\;\nBiomedical Engine
 ering\, IEEE Transactions on\nVolume 54\,  Issue 8\,  Aug. 2007 Page(s):15
 20 - 1529\n\n"http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=42736
 09":URL\n\nAbstract:\n\nCurrent demonstrations of brain-machine interfaces
  (BMIs) have shown the potential for controlling neuroprostheses under pur
 e motion control. For interaction with objects\, however\, pure motion con
 trol lacks the information required for versatile manipulation. This paper
  investigates the idea of applying impedance control in a BMI system. An e
 xtraction algorithm incorporating a musculoskeletal arm model was develope
 d for this purpose. The new algorithm\, called the muscle activation metho
 d (MAM)\, was tested on cortical recordings from a behaving monkey. The MA
 M was found to predict motion parameters with as much accuracy as a linear
  filter. Furthermore\, it successfully predicted limb interactions with no
 vel force fields\, which is a new and significant capability lacking in ot
 her algorithms.
LOCATION:Cambridge University Engineering Department\, CBL Rm #438 (http:/
 /learning.eng.cam.ac.uk/Public/Directions)
END:VEVENT
END:VCALENDAR