Mariam Chammat

Centre National de la Recherche Scientifique

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About

Mariam Chammat is a cognitive neuroscientist whose research explores the neural underpinnings of social cognition, emotion perception, and the intersection of affective neuroscience with artificial intelligence. Her most-cited work, "Reading sadness beyond human faces" (2010, 31 citations), investigates how the human brain processes emotional cues from non-human stimuli, revealing the mechanisms by which we attribute sadness to objects and abstract forms. This foundational study bridges the gap between emotion recognition and visual perception, contributing to our understanding of empathy and social communication. Chammat’s broader contributions include examining how the brain integrates emotional and contextual information, with implications for neuropsychiatric disorders and human-robot interaction. Her work, though modest in citation count, has been influential in shaping discussions on the universality of emotional expression and the role of the amygdala in affective processing. A dedicated researcher, Chammat’s interdisciplinary approach continues to inspire students and scholars interested in the neural bases of emotion, social behavior, and the ethical design of emotionally intelligent AI systems.