Institute of Cognitive Sciences and Technologies

Explainable machine learning identifies candidate shared neuroanatomical features in Alzheimer’s and Parkinson’s via importance inversion transfer

Despite significant neurobiological and pathological overlaps, Alzheimer’s and Parkinson’s diseases–the primary threats to healthy aging–are still managed as distinct clinical entities. Standard machine learning exacerbates this diagnostic fragmentation by prioritizing divergent...

Inferential planning in the frontal cortex

Abstract How the brain plans and maintains sequences of future actions remains a central question in systems neuroscience. Recent studies in the frontal cortex have revealed that multiple elements of a sequence are represented simultaneously in separable neural subspaces, challen...

How Norms Depend on the Presence and Status of Observers: The Relational Contingency of Everyday Behaviors in 90 Societies

Norms are fundamental to social life, but basic questions about how they are affected by social context remain. Specifically, how do normative constraints depend on the presence and status of observers, and how do such relational contingencies vary across cultures? Using data fro...

Socially Assistive Robots for Cognitive Assessment and Training in Older Adults: A Systematic Review

Cognitive assessment and training are fundamental tools for supporting healthy aging and monitoring cognitive decline in older adults. Socially assistive robots are being investigated in this context because of their potential to provide multimodal, engaging, and personalized int...