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SUMMARY:Optimal control with an electrophysiology experiment in the loop -
  Melvyn Tyloo
DTSTART;TZID=Europe/Berlin:20260813T171500
DTEND;TZID=Europe/Berlin:20260813T173000
DTSTAMP:20260917T120958Z
UID:pretalx-juliacon-2026-HMHAZL@pretalx.com
DESCRIPTION:Predicting the response of a system to a specific input is a v
 ery important task in engineering and nature in general. To accurately pre
 dict the response\, we developed a closed-loop algorithm to perform model 
 selection based on the output of a reference system obtained following a k
 nown input. We applied our algorithm to identify the most accurate model t
 o predict the output of a lab experiment\, which consists of light sensiti
 ve cells. Using light signals\, one can control the output current of the 
 cell. We integrated the experiment in a closed-loop framework\, which brou
 ght up a constraint on the computation time. Indeed\, the recordings of th
 e output current is limited in time\, meaning that the model selection has
  to be performed as fast as possible. To do that\, we leveraged the Julia 
 package Sockets.jl and the high speed intranet to export the computation o
 n a server\, where the required code had been precompiled. This allowed us
  to efficiently identify the most accurate model to use for our experiment
 .
LOCATION:Tent — RW1
URL:https://pretalx.com/juliacon-2026/talk/HMHAZL/
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