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SUMMARY:Geometry of neural representations - Carl Ashworth\; Ishan Kalburg
 e
DTSTART:20241112T133000Z
DTEND:20241112T150000Z
UID:TALK224509@talks.cam.ac.uk
CONTACT:124819
DESCRIPTION:An important question about the neural code asks how task-rele
 vant variables are represented in neural populations. Neurons may be purel
 y selective to only one task-relevant variable\, or they may exhibit a mix
 ture of selectivities. At its core\, the work of Stefano Fusi and colleagu
 es has sought to establish the special significance of nonlinear mixed sel
 ectivity neurons\, arguing that they underlie flexible and generalisable n
 eural representations in complex cognitive tasks. Specifically\, they show
  that nonlinear mixed selectivity allows for higher dimensional representa
 tions (abstractions) of task variables and demonstrate that linearly separ
 able\, clustered geometries arise in both biological and artificial neural
  networks that enable high-level performance. This talk will discuss the m
 otivation for studying nonlinear mixed selectivity\, the theoretical frame
 work proposed by Fusi and colleagues\, and an array of supporting human an
 d non-human primate experimental evidence.\nPapers to be discussed:\nRigot
 ti\, M. et al. The importance of mixed selectivity in complex cognitive ta
 sks. Nature 497\, 585–590 (2013).\nFusi\, S.\, Miller\, E. K. & Rigotti\
 , M. Why neurons mix: high dimensionality for higher cognition. Current Op
 inion in Neurobiology 37\, 66–74 (2016).\nBernardi\, S. et al. The Geome
 try of Abstraction in the Hippocampus and Prefrontal Cortex. Cell 183\, 95
 4-967.e21 (2020).\nBoyle\, L. M.\, Posani\, L.\, Irfan\, S.\, Siegelbaum\,
  S. A. & Fusi\, S. Tuned geometries of hippocampal representations meet th
 e computational demands of social memory. Neuron 112\, 1358-1371.e9 (2024)
 .\nCourellis\, H. S. et al. Abstract representations emerge in human hippo
 campal neurons during inference. Nature 632\, 841–849 (2024).
LOCATION:CBL Seminar Room\, Engineering Department\, 4th floor Baker build
 ing
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