Computational Neuroscience


Computational Neuroscience, a relatively recent discipline within the broader field of neuroscience, has emerged as a crucially important discipline for furthering our understanding of brain function and translating this knowledge into technological applications.  Boston University faculty have made many foundational contributions in computational neuroscience, and BU currently has one of the largest and most varied computational neuroscience faculties in the world.

The BU Graduate Program for Neuroscience (GPN) offers a Computational Neuroscience PhD Specialization for graduate students who wish to pursue rigorous training in this exciting field.  While all GPN students have the opportunity to take coursework or conduct thesis research that is computationally based, formal studies in computational neuroscience are organized by the Computational Neuroscience Curriculum Committee, comprised of faculty members Uri Eden, Frank Guenther, Nancy Kopell, Mark Kramer, David Mountain, and Barbara Shinn-Cunningham.

The Computational Neuroscience curriculum supplements core neuroscience training with advanced training in a wide array of computational methods for (i) studying the nervous system and (ii) developing neuroscience-related technologies. Topics of study include neural network modeling, neural dynamics, sensory, motor, and cognitive modeling, statistical modeling, sensory prosthesis, brain-machine interfaces, neuroinformatics, neuromorphic engineering, and robotics. Coursework is chosen from the wide array of computational and neuroscience courses offered by the many departments and programs of the main Boston University campus and the BU School of Medicine. Students pursue their thesis interests in laboratories across the University and have the opportunity to combine hands on experimental research with highly sophisticated computational analysis.

Potential applicants to the Computational Neuroscience PhD specialization should contact GPN for general admissions questions. Specific questions about the computational neuroscience specialization can be sent to



BU Computational Neuroscience Faculty

Bohland Jason Bohland

Speech neuroscience; neuroimaging; neuroinformatics

Bullock Daniel Bullock

Neural modeling of voluntary action and reinforcement learning

Carpenter Gail Carpenter

Neural networks; pattern recognition; neuromorphic technology

Cohen Michael Cohen

Speech processing; measurement theory; cardiovascular modeling

Colburn Stephen Colburn

Binaural hearing; neural modeling; hearing impairments

Collins James Collins

Synthetic biology; systems biology; sensory prosthesis

Eden Uri Eden

Mathematical and statistical modeling of neural spiking activity

Gardner Timothy Gardner

Songbird neural circuit development; neural recording technology

 Gorchetchnikov Anatoli Gorchetchnikov

Spatial representations and navigation

Grossberg Stephen Grossberg

Neural modeling of vision; speech; cognition; emotion; motor control; navigation; mental disorders

Guenther Frank Guenther

Speech neuroscience; neural prosthesis; neuroimaging

Han Xue Han

Neurotechnology, optogenetics, neural prosthetics

Hasselmo Michael Hasselmo

Memory-guided behavior; role of oscillations in cortical function

Howard Marc Howard

Cognition and neural representation of time and space

Hubbard Allyn Hubbard

Auditory physiology; VLSI; neurocomputing

Kolaczyk Eric Kolaczyk

Statistical analysis of network-indexed data; biological networks modeling and data analysis

Kon Mark Kon

Machine learning and bioinformatics; neural network theory

Kopell Nancy Kopell

Neural dynamics; rhythmic behavior in neural networks

Kramer Mark Kramer

Neural dynamics; neural rhythms in normal and diseased brains

Mountain David Mountain

Auditory information processing; biomedical electronics

Nawab Hamid Nawab

Signal processing of neural activity; auditory scene analysis

Ritt Jason Ritt

Sensorimotor behaviors; active sensing; neural prosthesis

Rucci Michele Rucci

Active perception; visual neuroscience; robotics

Schwartz Eric Schwartz

Computational neuroscience; machine vision; neuroanatomy

Sen Kamal Sen

Natural sound encoding; auditory plasticity; birdsong

Shinn-Cunningham Barbara Shinn-Cunningham

Auditory neuroscience; spatial hearing; neuroimaging

Somers David Somers

Visual perception and cognition; neuroimaging; neural modeling

Stepp Cara Stepp

Sensorimotor function disorders

Teich Malvin Teich

Biosignal analysis; audition; vision; biological imaging

Tourville Jason Tourville

Speech motor control; neuroimaging; neuroanatomy

Vaina Lucia Vaina

Computational models of vision; neuroimaging

Versace Massimiliano Versace

Neural modeling; whole-brain systems; neuromorphic technology; cognitive robotics

Yazdanbakhsh Arash Yazdanbakhsh

Human vision and its modeling; human electrophysiology and psychophysics