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UID:20250625T013422EDT-6133EnmKF0@132.216.98.100
DTSTAMP:20250625T053422Z
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 McGill. \n\n\nPour
  participer en personne\, inscrivez-vous ici\n\nPour visionner la diffusio
 n sur Vimeo\, cliquez sur le lien suivant\n\n\nLeonard Maler\, PhD\n\nProf
 esseur\, Département de médecine cellulaire et moléculaire\, Institut de r
 echerche sur le cerveau et l'esprit\, Université d'Ottawa\, Canada\n\nHôte
 : stuart.trenholm [at] mcgill.ca (Stuart Trenholm )\n\nAbstract: Weakly el
 ectric fish can find food in the dark using only their short-range electri
 c 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 sensin
 g motions to identify landmarks. The fish used only self-motion signals to
  rapidly learn efficient trajectories between each landmark and prey. We f
 ound that active sensing and self-motion signals were also essential for m
 ice learning the location of food hidden in one of 100 holes within an ope
 n maze. The mice did not require any visual landmarks to find food and cou
 ld find food in the dark. Given a stable start site\, they needed only sel
 f-motion cues and hole checks (active sensing) to learn near optimal traje
 ctories to food. Initial trajectories were random as were the hole checks.
  Learning resulted in the mice following a Target Estimation Vector (TEV) 
 that closely approximated the direct home to food vector\, and hole checks
  became restricted and accumulated only around the food site. The mice cou
 ld successively learn trajectories to two food holes. On a last probe tria
 l\, food was omitted from both food locations. Remarkably\, after finding 
 no food at the second food location\, the mice took a novel shortcut and r
 an nearly directly to the first food location\; this location had last bee
 n visited 4 days previously. Shortcutting is a key requirement for a “cogn
 itive map” and this is the first evidence that mice can learn a cognitive 
 map using only self-motion cues. I will directly connect the TEVs and hole
  check accumulation at the reward site to the properties of hippocampal (C
 A1) place cells of rodents that have learned the location of a hidden food
  site.\n
DTSTART:20240528T200000Z
DTEND:20240528T210000Z
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-355149
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