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SUMMARY:Information transfer from biological to analog microcircuits - Pro
 f. Alain Nogaret\, University of Bath
DTSTART:20210225T140000Z
DTEND:20210225T150000Z
UID:TALK157411@talks.cam.ac.uk
CONTACT:Thiago Burghi
DESCRIPTION:A challenge in bioelectronic medicine is to restore neurologic
 al functions lost to disease and in particular to develop models of synthe
 tic microcircuits that accurately replicate the adaptation of neurons and 
 central pattern generators to physiological feedback.\n\nThis talk shall c
 over the data assimilation methods we have developed to transfer informati
 on from in-vitro electrophysiological recordings of biological neurons (br
 ain and CNS) to neuron-based conductance models.  Completed models are val
 idated by twin experiments and by predicting the membrane voltage oscillat
 ions induced by a wide range of current simulation protocols.  I shall dis
 cuss various aspects of the parameter inference problem in particular the 
 search for unique parameter solutions and criteria for constraining those 
 in the context of ill-posed problems.  I shall report on the optimization 
 of VLSI models of respiratory neurons and their implementation in implanta
 ble analog silicon microcircuits.  These microcircuits have been successfu
 lly used to restore cardio-respiratory coupling in heart failure and to pr
 ovide a therapy in two animal models of disease.\n\nZoom meeting link: htt
 ps://zoom.us/j/97349674751
LOCATION:Online (Zoom)
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