|
Faculty Member |
Research Interests |
|---|---|
| Kelly R. Bijanki, Ph.D. | Human intracranial neurophysiology, affective neuromodulation and neuroimaging |
| J. David Dickman, Ph.D. |
Neural computation of motion, spatial navigation, magnetoreception and regenerative repair |
| Fabrizio Gabbiani, Ph.D. |
Computation of sensory processing and sensorimotor transformations in the CNS |
| Benjamin Hayden, Ph.D. | Professor, Department of Neurosurgery. Human intracranial neurophysiology, Reward, decision-making, executive control, cognition, anxiety, depression |
| Daoyun Ji, Ph.D. |
Neural circuit mechanisms in memory formation, consolidation, recall and utilization |
| Xiaolong Jiang, Ph.D. |
Dissecting cortical microcircuits in epilepsy and autism-spectrum disorders |
| Caleb Kemere, Ph.D. |
Machine learning and closed-loop experiments for memory and translation |
| Vaishnav Krishnan, M.D, Ph.D. |
Epilepsy and Emotional Behavior; home-cage behavioral analysis of genetic mouse models of epilepsy or epilepsy risk |
| Nuo Li, Ph.D. |
Planning and control of movement; short-term memory; neural circuits |
| Atul Maheshwari, M.D. |
Computational analysis of EEG in epilepsy and ADHD in mice and humans |
| Matthew McGinley, Ph.D. |
Auditory cognition; multiphoton imaging and whole-cell recording in behaving mice |
| Javier F. Medina, Ph.D. |
Reverse engineering neural algorithms for prediction in cerebellar circuits |
| T. Dorina Papageorgiou, Ph.D. |
Elucidation the brain mechanisms of induced learning following injury, using real-time fMRI neurofeedback training: neurorehabilitation of cortical blindness, speech dysarthria, and chronic pain syndromes; Machine learning and advanced quantitative approaches to model visual perception |
| Ankit Patel, Ph.D. |
Computational neuroscience of visual cortex; artificial neuroscience; theories of deep learning |
| Robia G. Pautler, Ph.D. |
Functional brain imaging in animal models of Alzheimer’s disease |
| Xaq Pitkow, Ph.D. |
Computational principles of sensory perception; inference in biological neural networks |
|
Brain states and attention, functional connectomics and fluorescence imaging in mice |
|
| David Ress, Ph.D. |
MRI-based studies of human neurovascular coupling and brain function |
| Ramiro Salas, Ph.D. |
Brain imaging of psychiatric disorders. |
| Tatiana Schnur, Ph.D. |
Quantitative and functional MRI, neuropsychological and behavioral modeling of language production and comprehension in persons with stroke and neurotypical language speakers |
| Sameer A. Sheth, M.D, Ph.D. |
Cognitive neurophysiology using human intracranial recordings and neuromodulation for psychiatric disorders |
| Andreas S. Tolias, Ph.D. |
Cell types, networks of neurons and artificial intelligence |
| Jeffrey M. Yau, Ph.D. |
Identify principles that unify the senses and how sensorimotor functions go awry |
Credit
Dr. David Dickman's lab is studying the mechanisms in the pigeon brains that help them navigate, with the hope of using that knowledge to better understand the human brain in diseases like Alzheimer’s, where people often lose their sense of orientation.
