Uri Eden
Prof. Eden’s research focuses on developing mathematical and statistical methods to analyze neural spiking activity. This research can be divided into two categories; first a methodological component, focused on developing a statistical framework for relating neural activity to biological and behavioral signal and developing estimation algorithms, goodness-of-fit analyses, and mathematical theory that can be applied […]
Stephen Grossberg
Prof. Grossberg develops brain models of vision and visual object recognition; audition, speech, and language; development; attentive learning and memory; cognitive information processing and social cognition; reinforcement learning and motivation; cognitive-emotional interactions; navigation; sensory-motor control and robotics; and mental disorders. These models involve many parts of the brain, ranging from perception to action, and multiple […]
Nancy Kopell
For the last two decades, Prof. Kopell has worked on mathematical problems in neuroscience. Her current interests parallel the themes of the Cognitive Rhythms Collaborative: how does the brain produce its dynamics (physiological mechanisms), how do brain rhythms take part in cognition (sensory processing, attention, memory, motor control), and how can pathologies of brain dynamics […]
Mark Kramer
Prof. Kramer’s research focuses on interdisciplinary topics in mathematical neuroscience with particular emphasis on biophysical models of neural activity and data analysis techniques. He is currently interested in medical applications and networks in neuroscience.
Gabriel Ocker
I work in theoretical neuroscience, studying structure-function relations in neuronal network models. How does neural activity encode sensory information and drive behavior? How do neural circuits evolve, learn, and adapt to shape that activity? How does that connectivity shape activity, and what computations does that activity perform? My group studies models of neural circuits, often […]
Emily Stephen
As a member of the Department of Mathematics and Statistics, I work on statistical modeling and analysis of neural recordings across spatial scales. Propagation of electrical and magnetic fields in the brain depends on both static anatomical features and state-dependent dynamical features like coherence, neuromodulation, and active pathways. My work involves constructing models that use […]