BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250810T004155EDT-3648lkacpX@132.216.98.100 DTSTAMP:20250810T044155Z DESCRIPTION:\nGrâce à la générosité des fiducies Killam\, Le Neuro convoque lors d’une série de séminaires des conférenciers d’exception dont les tra vaux passionnent ses chercheurs et ceux de l’Université ɬ﷬. \n\n\nPour assister en personne\, inscrivez-vous ici\n\nPour regarder via Vimeo\, cl iquez ici\n\n\nLeonard Maler\n\nProfesseur\, Département de médecine cellu laire et moléculaire\, Institut de recherche sur le cerveau et l’esprit\, Université d'Ottawa.\n\nHôte: stuart.trenholm [at] mcgill.ca (Stuart Trenh olm)\n\nAbstract: Weakly electric fish can find food in the dark using onl y their short-range electric sense. There are two mechanisms required for such spatial learning: (a) pattern separation for landmark discrimination and (b) path integration of self-motion signals for learning trajectories. The fish use active sensing motions to identify landmarks. The fish used only self-motion signals to rapidly learn efficient trajectories between e ach landmark and prey. We found that active sensing and self-motion signal s were also essential for mice learning the location of food hidden in one of 100 holes within an open maze. The mice did not require any visual lan dmarks to find food and could find food in the dark. Given a stable start site\, they needed only self-motion cues and hole checks (active sensing) to learn near optimal trajectories to food. Initial trajectories were rand om as were the hole checks. Learning resulted in the mice following a Targ et Estimation Vector (TEV) that closely approximated the direct home to fo od vector\, and hole checks became restricted and accumulated only around the food site. The mice could successively learn trajectories to two food holes. On a last probe trial\, food was omitted from both food locations. Remarkably\, after finding no food at the second food location\, the mice took a novel shortcut and ran nearly directly to the first food location\; this location had last been visited 4 days previously. Shortcutting is a key requirement for a “cognitive map” and this is the first evidence that mice can learn a cognitive map using only self-motion cues. I will directl y connect the TEVs and hole check accumulation at the reward site to the p roperties of hippocampal (CA1) place cells of rodents that have learned th e location of a hidden food site.\n DTSTART:20241015T200000Z DTEND:20241015T210000Z LOCATION:de Grandpre Communications Centre\, Montreal Neurological Institut e\, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University SUMMARY:Killam Seminar Series: Finding Your Way in the Dark: Electric Fish Learn Spatial Maps and Mice Learn Cognitive Maps URL:/neuro/fr/channels/event/killam-seminar-series-fin ding-your-way-dark-electric-fish-learn-spatial-maps-and-mice-learn-358314 END:VEVENT END:VCALENDAR