BEGIN:VCALENDAR VERSION:2.0 PRODID:Data::ICal 0.22 BEGIN:VEVENT DESCRIPTION:William Bialek\, Princeton University\n\n
Thoughts\, memories\, percepts\, and actions all result from the interactions among large numbers of neurons. \; Physicists have long hoped that these emergent behaviors could be described using ideas from st atistical mechanics. \; Recent experimental developments have made it possible to monitor\, simultaneously\, the electrical activity in hundreds or even thousands of cells. \; I will describe surprisingly simple st atistical physics models that provide a detailed\, quantitative account of these data\, and then turn to renormalization group ideas that allow us t o search explicitly for some underlying simplicity. \; There are signs that real networks are described by non-trivial fixed points\, setting th e stage for more ambitious theorizing.
\n\n\n DTSTART:20180323T193000Z LOCATION:Physics Building\, Room 204 SUMMARY:Statistical mechanics for networks of real neurons END:VEVENT END:VCALENDAR