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!
Congrats to starred first authors Emily and Juliana! Our new paper, "Identifying the neural dynamics of category decisions with computational model-based fMRI" is now published at Psychonomic Bulletin & Review! Read it here: rdcu.be/ckd27
Melisa Gumus recently published a longitudinal study showing that the prevalence of anxiety and depression is higher in patients with young-onset of Alzheimer’s than those with late-onset, and the difference remains significant over time: https://link.springer.com/article/10.1007%2Fs11357-020-00304-y. Congrats, Melisa!
A very much overdue recap of many successes and achievements over the past year!
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. https://www.nature.com/articles/s41467-019-13930-8
Hippocampal white matter microstructure predicts rapid category learning
Melisa Gumus, Teresa Zhu, Meg Schlichting, and Michael Mack
Early hippocampal engagement supports flexible category learning
Ziming Cheng, Tong Liu, and Michael Mack
Excited for our new paper published in Journal of Neuroscience! This paper is a companion review for the SfN 2019 minisymposium co-chaired by Dasa Zeithamova and Michael Mack.
Write something about yourself. No need to be fancy, just an overview.