Mack Lab at SfN 2022!
We are super excited to be back at SfN! Check out Mateja and Emily's poster on Saturday, Dory's poster on Sunday, and Melisa Gumus' talk on Monday:
Distinct hippocampal contributions to the rapid learning of category exceptions
Melisa Gumus, Michael Mack
Monday, 1:30-1:45pm, Nanosymposium Human LTM: Encoding and Retrieval
Hippocampus-related exception categorization varies across the menstrual cycle
Mateja Perovic, Emily Heffernan, Gillian Einstein, Michael Mack
Saturday, 1-5pm, Poster board UU2
Representational differentiation in flexible category learning
Yongzhen (Dory) Xie, Michael Mack
Sunday, 8am-12pm, Poster board WW37
Mack Lab at CogSci 2022
We are in-person at CogSci 2022!
Mateja Perović's poster at CNS 2022!
Melisa Gumus' work on characterizing brain network changes with post-concussion syndrome (PCS) is a featured news item at University Health Network: https://www.uhnresearch.ca/news/after-concussion. Congrats, Melisa!
Very excited for Jason Chow's undergraduate research on rapid object categorization published in AP&P! In this paper, Jason looked at the temporal dynamics of object categorization with a novel application of object substitution masking finding an interesting trade-off between basic- and superordinate-level categorization: although superordinate-level categorization demonstrates a clear masking effect very early, it recovers at the first mask offset that impairs basic-level categorization. We argue that this may be evidence of a competitive dynamic between levels of abstraction (e.g., animal vs. dog) during rapid categorization. Jason was one of the first members in the Mack Lab, so excited and proud to have his undergraduate research published! He is currently a graduate student at Vanderbilt University working with Isabel Gauthier and Tom Palmeri.
Chow, J., Palmeri, T.J., Mack, M.L. (2022). Revealing a competitive dynamic in rapid categorization with object substitution masking. Attention, Perception, & Psychophysics.
We are excited to publish a new paper in Hippocampus on the relationship between hippocampal circuitry and category learning. We find that the density of white matter connections between hippocampal subfields CA3 and CA1 relate to individual differences in category exception learning. This work comes from our first MRI study conducted at the U of T Psychology Department's Toronto Neuroimaging Facility. Data collection and analysis efforts were led by incoming graduate student Melisa Gumus and undergraduate student Teresa Zhu and the project was conducted in collaboration with Meg Schlichting.
Gauen Son's paper, titled "Scene wheels: Measuring perception and memory of real-world scenes with a continuous stimulus space", is now published online at Behavior Research Methods. In collaboration with Dirk Bernhardt-Walter, Gaeun developed a novel method for generating continuous stimulus spaces of synthetic naturalistic scenes with a generative adversarial network (GAN). To validate the method, we demonstrated that 1) human judgements of perceptual similarity aligned with distance in the continuous space and 2) the precision of working memory representations (as indexed with a continuous report paradigm) varies according to the geometry of the scene spaces. Here are all the links: paper, OSF page including example code, and demo of working memory experiment. And, check out the press release!
Emily Heffernan was awarded a Computational Modeling Award in Higher Level Cognition for her submission to the 2021 Cognitive Science Society Meeting. Her conference paper explores the role of hippocampal encoding functions in category learning by integrating human behaviour and computational modelling of the hippocampus. Congrats, Emily!
Read more: https://cognitivesciencesociety.org/conference-awards/
Melisa's recent paper on behavioural markers of young-onset Alzheimer's disease was featured on U of T Faculty of Medicine's News: https://medicine.utoronto.ca/news/tanz-centre-findings-may-help-detect-young-onset-alzheimers. Well done, Melisa!
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