BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Sara A. Solla (Northwestern University) DTSTART:20230302T170000Z DTEND:20230302T180000Z DTSTAMP:20260423T003257Z UID:MPML/96 DESCRIPTION:Title: Lo w Dimensional Manifolds for Neural Dynamics\nby Sara A. Solla (Northwe stern University) as part of Mathematics\, Physics and Machine Learning (I ST\, Lisbon)\n\n\nAbstract\nThe ability to simultaneously record the activ ity from tens to hundreds to thousands of neurons has allowed us to analyz e the computational role of population activity as opposed to single neuro n activity. Recent work on a variety of cortical areas suggests that neura l function may be built on the activation of population-wide activity patt erns\, the neural modes\, rather than on the independent modulation of ind ividual neural activity. These neural modes\, the dominant covariation pat terns within the neural population\, define a low dimensional neural manif old that captures most of the variance in the recorded neural activity. We refer to the time-dependent activation of the neural modes as their laten t dynamics and argue that latent cortical dynamics within the manifold are the fundamental and stable building blocks of neural population activity. \n LOCATION:https://researchseminars.org/talk/MPML/96/ END:VEVENT END:VCALENDAR