BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20260517T215414Z UID:https://www.cbs.mpg.de/events/40602/338738 DTSTART:20250212T090000Z DTEND:20250212T100000Z CLASS:PUBLIC CREATED:20250128T134513Z DESCRIPTION:A key goal of cognitive neuroscience is to generate an understa nding of the functional neuroanatomy of cortical systems. Using computatio nal encoding models and the visual system as a model system\, I will descr ibe recent empirical and computational innovations that have advanced unde rstanding of key cognitive neuroscience questions: How do spatiotemporal c omputations by population receptive fields contribute to spatial and tempo ral integration across processing streams? What spatial/spatiotemporal com putations explain elusive phenomena\, such as simultaneous suppression? Wh at computational constraints may lead to the formation of maps in visual c ortex? In the first part\, I will describe new empirical and computational frameworks we have developed and validated – spatiotemporal receptive fi elds (st-PRFs) that estimate from fMRI data the spatial and temporal summa tion windows of each voxel in the visual system (units of visual degrees a nd milliseconds). Then\, using st-pRFs\, we elucidate neural spatial and t emporal windows across the entire visual system and assess how simple\, bo ttom-up computations together with nonlinearities like transients\, contri bute to simultaneous suppression. In the second part\, I will describe a n ew kind of deep neural network that we have developed – topographic deep neural network (TDANN). Different from a typical DNN\, TANN model units ar e arranged retinotopically on a simulated cortical sheet and during self-s upervised training the loss function encourages units on the simulated cor tical sheet to have correlated responses. We find that this single unified principle predicts the function and spatial topography of maps at differe nt scales in the visual system– from orientation\, spatial frequency\, an d color patches in V1\, to category-selective clusters in ventral temporal cortex\, to the formation of three processing streams spanning the occipi tal\, temporal\, and parietal cortices.\nSpeaker: Prof. Kalanit Grill-Spec tor LAST-MODIFIED:20250128T140517Z LOCATION:MPI for Human Cognitive and Brain Sciences\, Room: Wilhelm Wundt R oom (A400) + Zoom Meeting (hybrid mode) ORGANIZER;CN=Department of Neurophysics:mailto:amuehlberg@cbs.mpg.de SUMMARY:Guest Lecture: Prof. Kalanit Grill-Spector | Understanding neural p rocessing in the human visual system: from spatiotemporal population recep tive fields to topographic deep neural networks URL;VALUE=URI:https://www.cbs.mpg.de/events/40602/338738 END:VEVENT END:VCALENDAR