Michael Mack
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drmack.bsky.social
Michael Mack
@drmack.bsky.social
Brains, models, cognition
Associate Professor of Psychology at University of Toronto
http://macklab.utoronto.ca
Reposted by Michael Mack
I'm pleased to share our new paper, "Attention to complex scene features", now published in Attention, Perception, and Psychophysics! We investigated how well traditional attention theories generalize to complex scene features, using AI-generated stimuli. Check out the paper here: rdcu.be/elLFK
Attention to complex scene features
rdcu.be
May 13, 2025 at 4:43 AM
Reposted by Michael Mack
What features guide visual search for complex scenes? In her new APP paper, @songaeun.bsky.social uses scenes generated with a GAN to isolate features that guide search: layout, material properties, and lighting.
rdcu.be/elPgO

@drmack.bsky.social
@macklab.bsky.social
@uoftpsychology.bsky.social
May 13, 2025 at 10:07 AM
Reposted by Michael Mack
New open access paper with @drmack.bsky.social! 🎉 The menstrual cycle has non-linear effects on pattern separation as measured by the mnemonic similarity task (MST). Perceived stress facilitates pattern separation performance independent of the menstrual cycle.
t.ly/k6Pul
May 4, 2025 at 2:53 PM
Reposted by Michael Mack
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!
May 16, 2024 at 10:27 PM
Reposted by Michael Mack
🎉 My first first-author paper is now published in PBR! @drmack.bsky.social and l used novel computational modeling & behavioral approaches to show how selective pattern differentiation and integration support learning and generalization of category exceptions! link.springer.com/article/10.3...
Reconciling category exceptions through representational shifts - Psychonomic Bulletin & Review
Real-world categories often contain exceptions that disobey the perceptual regularities followed by other members. Prominent psychological and neurobiological theories indicate that exception learning...
link.springer.com
April 19, 2024 at 7:38 PM
Reposted by Michael Mack
"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. arxiv.org/abs/2403.03230 1/6
Large language models surpass human experts in predicting...
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution....
arxiv.org
March 7, 2024 at 10:48 AM
Reposted by Michael Mack
Brief category learning distorts the perceptual space of complex scenes! Our new paper is now in Psychonomic Bulletin & Review: link.springer.com/article/10.3...

@drmack.bsky.social @dirkbwalther.bsky.social
March 7, 2024 at 3:07 AM