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 BohlandSpeech neuroscience; neuroimaging; neuroinformatics Bullock Daniel BullockNeural modeling of voluntary action and reinforcement learning
Carpenter Gail CarpenterNeural networks; pattern recognition; neuromorphic technology Cohen Michael CohenSpeech processing; measurement theory; cardiovascular modeling
Colburn Stephen ColburnBinaural hearing; neural modeling; hearing impairments Collins James CollinsSynthetic biology; systems biology; sensory prosthesis
Eden Uri EdenMathematical and statistical modeling of neural spiking activity Gardner Timothy GardnerSongbird neural circuit development; neural recording technology
 Gorchetchnikov Anatoli GorchetchnikovSpatial representations and navigation Grossberg Stephen GrossbergNeural modeling of vision; speech; cognition; emotion; motor control; navigation; mental disorders
Guenther Frank GuentherSpeech neuroscience; neural prosthesis; neuroimaging Han Xue HanNeurotechnology, optogenetics, neural prosthetics
Hasselmo Michael HasselmoMemory-guided behavior; role of oscillations in cortical function Howard Marc HowardCognition and neural representation of time and space
Hubbard Allyn HubbardAuditory physiology; VLSI; neurocomputing Kolaczyk Eric KolaczykStatistical analysis of network-indexed data; biological networks modeling and data analysis
Kon Mark KonMachine learning and bioinformatics; neural network theory Kopell Nancy KopellNeural dynamics; rhythmic behavior in neural networks
Kramer Mark KramerNeural dynamics; neural rhythms in normal and diseased brains Mountain David MountainAuditory information processing; biomedical electronics
Nawab Hamid NawabSignal processing of neural activity; auditory scene analysis Ritt Jason RittSensorimotor behaviors; active sensing; neural prosthesis
Rucci Michele RucciActive perception; visual neuroscience; robotics Schwartz Eric SchwartzComputational neuroscience; machine vision; neuroanatomy
Sen Kamal SenNatural sound encoding; auditory plasticity; birdsong Shinn-Cunningham Barbara Shinn-CunninghamAuditory neuroscience; spatial hearing; neuroimaging
Somers David SomersVisual perception and cognition; neuroimaging; neural modeling Stepp Cara SteppSensorimotor function disorders
Teich Malvin TeichBiosignal analysis; audition; vision; biological imaging Tourville Jason TourvilleSpeech motor control; neuroimaging; neuroanatomy
Vaina Lucia VainaComputational models of vision; neuroimaging Versace Massimiliano Versace Neural modeling; whole-brain systems; neuromorphic technology; cognitive robotics
Yazdanbakhsh Arash YazdanbakhshHuman vision and its modeling; human electrophysiology and psychophysics