Avniel Singh Ghuman, PhD, joined the Department of Neurological Surgery in September of 2011. He received his undergraduate education in math and physics at The Johns Hopkins University and completed his doctoral education in biophysics at Harvard University. He completed his postdoctoral training at the National Institute of Mental Health prior to joining the faculty at the University of Pittsburgh.
As director of MEG (Magnetoencephalography) Research, one of Dr. Ghuman’s primary roles is to facilitate, develop, and advance clinical and basic neuroscience research using MEG. To this end, he is helping to develop new research applications for MEG in collaboration with researchers throughout the community. MEG is the most powerful functional neuroimaging technique for noninvasively recording magnetic fields generated by electrophysiological brain activity, providing millisecond temporal resolution and adequate spatial resolution of neural events..
Dr. Ghuman’s research focuses on how our brain turns what falls upon our eyes into the rich meaningful experience that we perceive in the world around us. Specifically, his lab studies the neural basis of the visual perception of objects, faces, words, and social and affective visual images in the real-world. His lab examines the spatiotemporal dynamics of how neural activity reflects the stages of information processing and how information flow through brain networks responsible for visual perception.
To accomplish these research goals, Dr. Ghuman’s lab records electrophysiological brain activity from humans using both invasive (intracranial EEG; iEEG — in collaboration with Taylor Abel, MD, and Jorge González-Martínez, MD, PhD) and non-invasive (magnetoencephalography; MEG) measures. In conjunction with these millisecond scale recordings they use multivariate machine learning methods, network analysis, and advanced signal processing techniques to assess the information processing dynamics reflected in brain activity. Additionally, his lab uses direct neural stimulation to examine how disrupting and modulating brain activity alters visual perception. This combination of modalities and analysis techniques allow Dr. Ghuman to ask fine-grained questions about neural information processing and information flow at both the scale of local brain regions and broadly distributed networks.
Dr. Ghuman's publications can be reviewed through the National Library of Medicine's publication database.
Specialized Areas of Interest
Professional Organization Membership
Education & Training
- BA, Math and Physics, The John Hopkins University, 1998
- PhD, Biophysics, Harvard University, 2007
Honors & Awards
- Young Investigator Award, NARSAD, 2012
- Award for Innovative New Scientists, National Institute of Mental Health, 2015
Research Activities
The human brain effortlessly deciphers dynamic faces during complex, real-world social inter-actions to decipher the subtleties of social communication in real life. The brain’s operations in such natural settings have remained largely elusive due to the challenges of studying natural interactions in controlled experiments.
To overcome these hurdles, we captured hours of multi-electrode intracranial brain recordings and wearable eye-tracking from individuals during spontaneous, natural interactions with their friends, family, etc. We developed a computational framework to untangle these high dimensional data and learn neuro-perceptual relationships between brain activity and dynamic faces. Models reconstructed the identity, expressions, and motion of faces participants looked at— from brain activity alone. Participants’ dynamic brain activity was also predicted—solely from faces they looked at. This approach identified the ‘social vision pathway,’ a network of areas spanning parietal, temporal, and occipital cortex, as particularly engaged during natural social interactions.
Neuro-perceptual models revealed our brains encode people’s real world facial expressions as deviations from their prototypical neutral expression. Furthermore, neural tuning for real world faces demonstrated a heightened sensitivity to subtle differences in expression near neutral over similar differences between already intense expressions: a Weber’s law for facial expressions—that was confirmed behaviorally. This principle suggests our brains are finely tuned to nuances in facial expressions that represent the subtleties of social communication in real life.
Media Appearances
30 Years of Cognitive Shifts
Carnegie Mellon University
October 7, 2024
Neuroscientists listened in on people’s brains for a week. They found order and chaos.
MIT Technology Review
February 7, 2023
Ability to Recognize Faces Grows With Age, Study Finds
The Wall Street Journal
January 5, 2017
Epilepsy Research Leads To New Insights Into How Our Brains Read
WESA Radio Pittsburgh Tech Report
August 16, 2016
Study shows how words are represented in the brain
UPI
July 20, 2016
Decoding Reading in the Brain
Cognitive Neuroscience Society
July 19, 2016
“Reading” The Reading Mind
ScienceBeta
July 8, 2016