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VERSION:2.0
CALSCALE:GREGORIAN
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CATEGORIES:Lectures & Presentations
DESCRIPTION:The Physics & Astronomy Colloquium Series and Quantitative Biol
 ogy Institute presents Tatiana Engel of Princeton Neuroscience Institute\, 
 Princeton University\, discussing "Unifying Single-neuron Tuning\, Manifold
  Geometry\, and Population Dynamics" on January 16.\n\n \n\nAbstract: Respo
 nses of single cortical neurons are complex and heterogeneous\, yet they of
 ten form low-dimensional manifolds in the population state space. It is com
 monly assumed that neural computations arise from low-dimensional populatio
 n dynamics\, while functional properties of individual neurons are not inte
 rpretable.\n\n \n\nI will present our recent work that bridges single-neuro
 n tuning with manifold geometry and population dynamics. First\, we develop
 ed a flexible approach for simultaneously inferring single-trial population
  dynamics and tuning functions of individual neurons to the latent populati
 on state. Applied to spike data recorded during decision-making\, our model
  revealed that all neurons encode the same dynamic decision variable\, and 
 heterogeneous firing rates result from diverse tuning of single neurons to 
 this decision variable. Second\, we prove that in firing-rate recurrent net
 works\, when population dynamics are strictly low-dimensional\, single-neur
 on responses necessarily cluster into functional types\, with the number of
  response types equal to the linear dimensionality of the neural manifold. 
 We confirm these predictions in recurrent networks trained on cognitive tas
 ks and brain-wide neural recordings from mice during decision-making. These
  results reveal fundamental constraints on how recurrent circuits represent
  information.
DTEND:20260116T220000Z
DTSTAMP:20260308T034507Z
DTSTART:20260116T211000Z
GEO:39.322732;-82.10287
LOCATION:Walter Hall\, 145
SEQUENCE:0
SUMMARY:Physics Colloquium | Cancelled - to be rescheduled! Unifying Single
 -neuron Tuning\, Manifold Geometry\, and Population Dynamics\, Jan 16
UID:tag:localist.com\,2008:EventInstance_51764018441658
URL:https://calendar.ohio.edu/event/physics-colloquium-unifying-single-neur
 on-tuning-manifold-geometry-and-population-dynamics-jan-16
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