BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Justyna Signerska-Rynkowska (Politechnika Gdańska / Dioscuri Cent re in Topological Data Analysis) DTSTART:20251006T103000Z DTEND:20251006T123000Z DTSTAMP:20260423T005715Z UID:BNAT/1 DESCRIPTION:Title: Dyn amical and geometrical mechanism shaping response precision in neuron mode ls\nby Justyna Signerska-Rynkowska (Politechnika Gdańska / Dioscuri C entre in Topological Data Analysis) as part of Basic Notions and Applied T opology Seminar\n\nLecture held in Room 1 at the Institute of Mathematics PAS.\n\nAbstract\nExperimental studies of neuronal dynamics involve record ing of both spontaneous activity patterns and the responses to sustained a nd short-term inputs. In the first part of the talk\, I will describe unde rlying dynamical structures governing phenomena such as post inhibitory fa cilitation (PIF) and slope detection in a response to transient inputs in a class of nonlinear adaptive hybrid neuron models. In PIF an otherwise su bthreshold excitatory input can induce a spike if it is applied with prope r timing after an inhibitory pulse\, while neurons displaying slope-detect ion property spike to a transient input only when the input’s rate of ch ange is in a specific\, bounded range. A key concept in this analysis is a firing threshold curve which allows us to explain these phenomena in the non-autonomous systems\, building upon our understanding of corresponding systems with constant stimulus.\nOn the other hand\, studying phenomena su ch as phase locking requires the time depending sustained stimulus and the use of our knowledge on the underlying autonomous system is very limited in this case. Nevertheless\, phase-locking of ongoing oscillations to a pe riodic signal can be explored with a variety of analytical approaches. How ever\, much less is known about what factors determine the response precis ion of excitable cells that are intrinsically at rest but are activated by periodic forcing and noise. We shed light on this coding precision by int roducing a new tool\, the dynamic threshold curve (DTC)\, which we apply t o the study of well-established auditory neuron model.\nThe talk is based on joint works with Jonathan Rubin (University of Pittsburgh) and Jonathan Touboul (Brandeis University).\n LOCATION:https://researchseminars.org/talk/BNAT/1/ END:VEVENT END:VCALENDAR