December 10, 2021 – Violet Xiang

Modeling human learning with contrastive learning algorithms Deep convolutional neural networks trained on large annotated visual datasets such as ImageNet have become the state-of-the-art models both for visual recognition tasks and for predicting neuronal responses in primates’ visual stream. Until recently, the large amount of annotated labels required to train these systems made them implausible […]

December 3, 2021 – Douglas Miller

Preparatory Attentions Effect on Successful Memory Encoding Memory is a fundamental part of the human experience. Every moment in one’s life involves encoding, retrieving, and forgetting memories. So, what makes memories more stable than others? Here we leverage EEG in an incidental encoding task (N=136 young adults with 113 included across analyses), to measure the […]

November 12, 2021 – Anna Xu

The Relationship Between Serum Cytokine Levels and Cognition in Psychosis The immune system is a promising avenue of biomarker development research for neurocognitive impairments associated with psychosis. However, which cytokines are associated with specifically which cognitive impairment in psychotic disorders is unclear. To address this gap, this pre-registered study assessed the relationship between specific cognitive […]

October 29, 2021 – Ari Beller

How to ask “Why?”: A Process Model for Causal Cognition  Causal reasoning is a critical component of human cognition. A broad, multi-disciplinary literature supports the claim that humans perform causal judgments by computing counterfactuals. However many questions about details of counterfactual thinking remain unanswered. How exactly do humans perform counterfactual reasoning? And how do these […]

October 8, 2021 – Gedeon Deák

Hidden Figures: Finding Statistical Regularities That Teach Infants Language and Social Skills Human infants’ capacity to learn language and communication has fascinated thinkers for millenia. In the past century psychological research has tended to address this mystery by attempting to specify species-specialized learning phenotypes. That enterprise addresses only half of a “dual modelling problem” (Deák, Bartlett, & […]

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