New York University · NeuroscienceCognitive Learning and Brain Dynamics Lab
Simon Henin · New York, New York
Research Focus
Dr. Simon Henin's lab at NYU focuses on understanding how our brains learn from experiences using statistical learning, a key process in acquiring language and other cognitive skills. By combining advanced imaging techniques with direct recordings from the brains of patients, the lab aims to reveal how different regions of the brain, particularly the cortex and hippocampus, interact while we learn. This research could lead to new insights and therapies for cognitive deficits associated with neurological disorders.
statistical learningcognitionhippocampuscortexelectrophysiologylanguage acquisitionneurological disordersneuroimagingbrain circuits
Research Aims
3AIM 01Examine functional coupling between the hippocampus and cortex during basic statistical learning.
AIM 02Investigate how abstract rule-learning emerges in the brain.
AIM 03Explore how statistical learning unfolds during hierarchical learning of nested structures.
Skills the Lab Values
magnetoencephalography (MEG)intracranial EEG (iEEG)electrophysiologyneural frequency tagging (NFT)data analysisbrain imaging techniquesexperimental designsignal processingcognitive task development
Output against the department
Publications68bottom 18% of dept.545th of 671
this lab
most publishedleast published
Citations2.3kbottom 14% of dept.576th of 671
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.