Plamen Ch. Ivanov
Professor Ivanov, PhD, DSc, is Director of the Keck Laboratory for Network Physiology at Boston University and Director of the International Summer Institute on Network Physiology (ISINP), Lake Como School for Advanced Studies, Italy. He has introduced innovative ways to analyze and model physiological systems, adapting and developing concepts and methods from modern statistical physics, nonlinear dynamics […]
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.
Pankaj Mehta
I am interested in theoretical problems at the interface of physics and biology. I want to understand how large-scale, collective behaviors observed in biological systems emerge from the interaction of many individual molecular elements, and how these interactions allow cells to perform complex computations in response to environmental cues. I started a blog that I […]
Kate Nussenbaum
Director: Computation, Learning, & Development Lab My research aims to understand developmental changes in value-guided learning, memory, and exploration from childhood to early adulthood. By combining novel behavioral tasks with fMRI and computational modeling, I address questions about how, across development, people adapt their learning processes to the demands of varied contexts. How do children, adolescents, […]
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 […]
Yannis Paschalidis
Prof. Paschalidis completed his graduate education at the Massachusetts Institute of Technology (MIT) receiving an MS (1993) and a PhD (1996) degree, both in Electrical Engineering and Computer Science. In September 1996 he joined Boston University where he has been ever since. He has held visiting appointments with MIT and Columbia University. His research interests […]
Matthias Stangl
Research in my lab focuses on how the human brain supports critical cognitive and behavioral functions in our everyday life, such as spatial navigation and memory, and on the neural mechanisms that underlie age-related impairments in these functions. From a methodological perspective, we employ novel neurotechnologies and advanced methodologies such as deep brain recordings in […]
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 […]
Roberto Tron
Prof. Tron previously served as a post-doctoral researcher with the GRASP Lab at the University of Pennsylvania. His research interests lie at the intersection of automatic control, robotics, and computer vision, with a particular emphasis on applications of Riemannian geometry and on distributed problems involving teams of multiple agents. Tron received his Ph.D. from John […]