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SUMMARY:Computational Neuroscience Journal Club - Luke Johnston\, Wayne So
 o
DTSTART:20230221T140000Z
DTEND:20230221T160000Z
UID:TALK197686@talks.cam.ac.uk
CONTACT:Luke Johnston
DESCRIPTION:Summary\nIn a slight departure from our usual structure\, this
  edition of the journal club will pay tribute to the late Krishna Shenoy\,
  who sadly passed away in January. Krishna’s contributions to the field 
 were significant and wide-ranging\, particularly in areas of motor cortex 
 dynamics and brain-computer interface (BCI). After a brief retrospective w
 e’ll delve deeper into these contributions\, examining some of his paper
 s which had the greatest impact in the field.\n\nWe first review some of h
 is key contributions to understanding the neural control of movement. 15 y
 ears ago\, basic motor cortex responses were still poorly understood and s
 ubject of multiple controversies over competing representational views (su
 ch as whether cortical activity encodes muscle action or reach velocity). 
 Krishna proposed the alternative "dynamical systems perspective"\, spannin
 g across many works over more than a decade.\n\nWe’ll then examine some 
 of his work on BCI\, starting with “A high-performance brain–computer 
 interface” (Santhanam et al. 2006). This paper demonstrated an invasive 
 BCI in two rhesus monkeys that achieved unprecedented information rates vi
 a a ‘direct end-point control’ strategy. We’ll then discuss “A hig
 h-performance neural prosthesis enabled by control algorithm design” (Gi
 lja et al. 2012)\, where we consider a control algorithm based on a modifi
 ed Kalman filter (ReFIT-KF) which enables high performance across cursor m
 ovement tasks.\n\nReferences\n[1] "Cortical Preparatory Activity: Represen
 tation of Movement or First Cog in a Dynamical Machine?" (Churchland et al
 . 2010)\n[2] "Neural population dynamics during reaching" (Churchland et a
 l. 2013)\n[3] "Cortical activity in the null space: permitting preparation
  without movement" (Churchland et al. 2014) \n[4] “A high-performance br
 ain–computer interface” (Santhanam et al. 2006)\n[5] “A high-perform
 ance neural prosthesis enabled by control algorithm design” (Gilja et al
 . 2012)\n\n
LOCATION:In Person (CBL Seminar Room) and Online on Zoom
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