Ansgar Endress

Dr. Ansgar Endress is a Senior Lecturer in the Department of Psychology at City, University of London, within the School of Health Sciences. He is a behavioral scientist with extensive research experience in cognitive science, language acquisition, memory, and statistical learning.

Dr. Endress trained as a generalist engineer at École Polytechnique and earned his doctorate in Cognitive Science from the École des Hautes Études en Sciences Sociales. Prior to joining City, he held research positions at the International School for Advanced Studies, Harvard University, MIT, and Universitat Pompeu Fabra in Barcelona.

His research focuses on how simple psychological mechanisms shared across species shape uniquely human traits like language. His work spans from evolutionary behavioral science to language acquisition, perception, memory, and social behavior, using behavioral assays, statistical techniques, and computational models. He has worked with non-human primates, human infants, and adults.

His recent publications reveal a strong trend in computational and theoretical cognitive science, particularly in statistical learning, neural entrainment, memory dynamics, and language acquisition. His work often challenges or refines existing theories by proposing memory-less or Hebbian mechanisms as alternatives to declarative memory models.

• Hebbian learning and neural entrainment
• Statistical learning and memory dissociation
• Language acquisition mechanisms
• Perceptual and cognitive development
• Evolutionary psychology
• Computational modeling of cognition

Dr. Endress has not listed any scientific awards in the provided text. He collaborates with researchers such as S.P. Johnson, M. de Seyssel, and L.L. Bonatti. His work involves significant grant-funded research, though specific grants are not mentioned. He advises students in cognitive science and psychology, though specific names are not provided.

He maintains an active research lab focused on behavioral and cognitive experiments, utilizing computational models and empirical data from infants and adults. His team investigates the foundational mechanisms of learning and cognition, often bridging human and non-human primate studies.