Mack Lab

Michael Mack's computational cognitive neuroscience lab at the University of Toronto

[Yongzhen (Dory) Xie @yongzhen_xie]

Looking forward to presenting my work on exception learning at #VSS2024! Come see my poster in the morning of May 18 to discuss how prefrontal, hippocampal, and visual areas can distinctively support the learning of complex visual categories with exceptional items!

[Michael Mack @mmack]

Our lab's first MRI study entirely conducted at @UofT is now published! Learning exceptions to category rules is related to white matter circuity of the hippocampus. In collab with @megschlichting, Melisa Gumus, and Teresa Zhu. https://t.co/JCGZT5IIRG

[Michael Mack @mmack]

New paper in PB&R on the neural dynamics of category decisions by starred first authors @em_heffernan and @j_adema_ ! What if you interrogate brain and behaviour with the DDM while people categorize? Answer: lateral PFC! Read here: https://t.co/A3QRCnMmwt @macklabuoft

[Brain Canada @BrainCanada]

Meet @mmack . This 2019 @azrielifdn Future Leader studies brains to help them study better! He dreams of customized learning that makes the most of every student's brain. Get to know all 20 amazing Canadians taking us into the great unknown ➡️ https://t.co/EY37Z73MEe

[Michael Mack @mmack]

Very excited about our (@son_gaeun, @DirkBWalther) new preprint: Measuring scene perception and memory with realistic scene wheels generated by GANs. Excellent first-year PhD work by Gaeun Son! Demo: https://t.co/aJAKKUWHye OSF: https://t.co/voxrM4aeUS @bwlab_UofT @macklabuoft

[Bradley Love @ProfData]

Out today, "Ventromedial prefrontal cortex compression during concept learning" w @mmack @preston_lab. vmPFC compresses information during learning in a goal-directed manner. Its timecourse is unique and parallels attention weights from learning models.

https://t.co/tRVHWw2Wci

[Michael Mack @mmack]

Very excited about our new paper: "Ventromedial prefrontal cortex compression during learning". vmPFC coding akin to goal-directed dimensionality reduction and tracks attention weights from learning models. @ProfData @preston_lab
https://t.co/akfRTI3Rut

[Mack Lab @macklabuoft]

#openforbusiness