Computational Neuroscience
 | Lucien Elie Bienenstock Associate Professor of Applied Mathematics and Neuroscience My research is in theoretical neuroscience, computational vision, and computational linguistics. I study the mechanisms used by brains to create and work with complex, detailed, hierarchical representations of the external world. With colleagues in neuroscience and applied math, I investigate the hypothesis that the fine temporal structure of cortical activity, e.g. the synchronous firing of neurons, plays an important role in these representations. Read More |
 | Barry Connors Professor and Chair I study the cellular physiology of the mammalian brain. Most of my work centers on the neocortex, which is responsible for thinking, remembering, processing sensory information, and controlling movement. The neocortex is a vast network of interconnected neurons. My research group studies the properties of these neurons, their synaptic connections, and the characteristics of cortical networks. We are also interested in the mechanisms of epileptic seizures. Read More |
 | Leon Cooper Professor Leon Cooper studies neural networks, including architecture, learning rules, and real world applications; the biological basis of memory and learning; mean field theories; the foundations of quantum theory; and superconductivity. Read More |
 | John Donoghue Professor of Neuroscience Our laboratory investigates how the brain turns thought into voluntary behaviors and how that knowledge can be used to help persons with paralysis. We study how populations of neurons represent and transform information as a motor plan becomes movement. This approach has required the creation of a novel recording array to study neural ensembles. With the knowledge we have gained about movement representation, we have translated our findings to a clinical application in which humans with paralysis can use their Read More |
 | Michael Frank Associate Profressor Read More |
 | Stuart Geman Professor What are the basic principles of representation and computation in the nervous system? Cognitive scientists have argued for a theory based upon compositionality, which refers to the evident ability of brains to represent objects, scenes, thoughts and actions in a hierarchical structure. I am studying a mathematical formulation for compositionality, and the implications of this formulation for interpreting neural activity patterns and for building computer vision systems. Read More |
 | Leigh Hochberg Associate Professor of Engineering Our Laboratory for Restorative Neurotechnology focuses on developing strategies to restore communication, mobility, and independence for people with paralysis or limb loss. In addition to endeavors related to the pilot clinical trial of the BrainGate2 Neural Interface System, we are interested in understanding human intracortical neurophysiology during the planning and production of voluntary movement, and understanding neuronal ensemble function in a variety of neurologic diseases or injuries. Read More |
 | Stephanie Jones Assistant Professor of Neuroscience (Research) Read More |
 | Arto Nurmikko Professor Professor Nurmikko carries out research in neuroenginering/neurotechnology, nanophotonics, experimental laser sciences, and active electronic nanomaterials. Topics of interest range from new approaches to brain interfaces combining neural signal detection and neural stimulation of cortical microcircuits, strong light-matter interaction on subwavelength spatial scales, to the development and application of new optoelectronic devices (such as ultraviolet semiconductor sources. Read More |
 | Michael Paradiso Sidney A. and Dorothea Doctors Fox Professor of Ophthalmology and Visual Sciences, Professor of Neuroscience Humans are highly visual animals and the processing of visual information appears to involve a significant fraction of the brain. Vision involves interactions between neurons spread widely across the brain and it dynamically adapts to the needs of ongoing behavior. The aims of Dr. Paradiso's research are to elucidate the encoding of visual information in cerebral cortex, the computations performed by interacting neurons, and the adaptive use of neural circuitry, with the goal of understanding the mechanisms underlying Read More |
 | Thomas Serre Assistant Professor of Cog Ling & Psych Sci My long-term goal is to help realize one of the oldest dreams in artificial intelligence: To reverse-engineer the brain and build machines that can see and interpret the visual world as well as we do. Achieving such an ambitious goal would give scientists a powerful tool to uncover and understand key mechanisms of human perception and cognition as well as to create a new generation of "seeing" machines. Read More |
 | David Sheinberg Professor of Neuroscience Research in my lab explores how we identify objects and events in the real world, where both the observer and the environment change over time. The brain must process a dynamic stream of sensory information and efficiently parse this information to reach conclusions about the presence or absence of noteworthy objects to which actions should be directed. By studying the activity of neural circuits involved in this process, we aim to better understand mechanisms underlying perception. Read More |
 | Wilson Truccolo Assistant Professor of Neuroscience (Research) • Theoretical Neuroscience: Collective dynamics and computation in cortical networks; Neural dynamics in neurological disorders • Neurostatistics: Stochastic modeling and statistical analysis of neural systems • Neuroengineering: Brain-machine interfaces, neuromodulation, prediction & control Read More |