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SUMMARY:Computational Neuroscience Journal Club - Rui Xia\, Youjing Yu
DTSTART:20240501T130000Z
DTEND:20240501T150000Z
UID:TALK216475@talks.cam.ac.uk
CONTACT:Puria Radmard
DESCRIPTION:Please join us for our Computational Neuroscience journal club
  on Wednesday 1st May at 2pm UK time in the CBL seminar room\n\nThe title 
 is “Feedback Controllability is a Normative Theory of Neural Population 
 Dynamics”\, presented by Rui Xia and Youjing Yu.\n\nSummary:\n\nIn the p
 roduction of complex behaviors such as locating\, identifying\, and graspi
 ng food\, the brain employs feedback mechanisms\, wherein the outputs of a
  system are rerouted as inputs. Despite substantial evidence supporting fe
 edback control as a normative theory of behavior\, if and how feedback con
 trol explains neural population dynamics has been largely unarticulated.\n
 \nIn this journal club\, we will explore the concept of feedback controlla
 bility as a normative theory for understanding neural population dynamics 
 [1]. We will first introduce foundational mathematical concepts of control
  theory\, including controllability\, feedback controllers\, particularly 
 the Linear Quadratic Regulator. Subsequently\, we will discuss the novel d
 imensionality reduction methods designed to identify subspaces within neur
 al population data that are most feed-forward controllable (FFC) vs. feedb
 ack controllable (FBC). Experimental results are then presented to show FB
 C subspaces as better decoders of behavior and how these two subspaces car
 ry distinct computations with differing regimes of emergent dynamics.\n\n[
 1] Bouchard\, Kristofer\, and Ankit Kumar. “Feedback Controllability is 
 a Normative Theory of Neural Population Dynamics.” (2024)
LOCATION:CBL Seminar Room\, Engineering Department\, 4th floor Baker build
 ing
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