University of Rochester · Mathematics & StatisticsThe Speech Dynamics Lab
Samuel V Norman-Haignere · Rochester, New York
Research Focus
Dr. Samuel V Norman-Haignere's lab at the University of Rochester focuses on how the human brain processes and understands speech over time. The research explores how the brain integrates speech sounds, like phonemes and words, whether the integration is more linked to the timing of sounds or to their structural components. This work aims to bridge the gap between auditory science and language processing, contributing to understanding speech perception and communication deficits in various population groups.
speech perceptionneural integrationauditory processingcognitive neurosciencefunctional MRIdeep learningneurophysiologypsycholinguisticstemporal structuresneural networks
Research Aims
3AIM 01Examine whether neural window of integration is linked to time or speech structure.
AIM 02Develop computational models to explain neural integration in auditory processing.
AIM 03Map the spatial distribution of time- and structure-related integration across the human cortex.
Skills the Lab Values
intracranial recordingsfunctional MRI (fMRI)data analysiscomputational modelingneural network simulationstatistical decomposition techniquesauditory processing techniquesexperimental designprogramming (Python)signal processing
Output against the department
Publications50bottom 5% of dept.124th of 131
this lab
most publishedleast published
Citations2.6kbottom 20% of dept.105th of 131
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.