Computational Neuroscience

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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 neurosci@bu.edu.

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BU Computational Neuroscience Faculty

Boas David Boas Neuro-photonics, biomedical optics, neuro-vascular coupling Bullock Daniel Bullock Neural modeling of voluntary action and reinforcement learning
Bohland Jason Bohland Speech neuroscience; neuroimaging; neuroinformatics Cohen Michael Cohen Speech processing; measurement theory; cardiovascular modeling
Carpenter Gail Carpenter Neural networks; pattern recognition; neuromorphic technology Gardner Timothy Gardner Songbird neural circuit development; neural recording technology
Colburn Stephen Colburn Binaural hearing; neural modeling; hearing impairments Grossberg Stephen Grossberg Neural modeling of vision; speech; cognition; emotion; motor control; navigation; mental disorders
Eden Uri Eden Mathematical and statistical modeling of neural spiking activity Han Xue Han Neurotechnology, optogenetics, neural prosthetics
Guenther Frank Guenther Speech neuroscience; neural prosthesis; neuroimaging Howard Marc Howard Cognition and neural representation of time and space
Hasselmo Michael Hasselmo Memory-guided behavior; role of oscillations in cortical function Kolaczyk

 

Eric Kolaczyk Statistical analysis of network-indexed data; biological networks modeling and data analysis
Hubbard Allyn Hubbard Auditory physiology; VLSI; neurocomputing Kopell Nancy Kopell Neural dynamics; rhythmic behavior in neural networks
Kon Mark Kon Machine learning and bioinformatics; neural network theory Ritt Jason RittSensorimotor behaviors; active sensing; neural prosthesi
Kramer Mark Kramer Neural dynamics; neural rhythms in normal and diseased brains Schwartz Eric Schwartz Computational neuroscience; machine vision; neuroanatom
sam Sam Ling Visual processing, attention, learning and awareness Shinn-Cunningham Barbara Shinn-Cunningham Auditory neuroscience; spatial hearing; neuroimagin
Maguire Joe McGuire Neural representation of subjective value, decision making, weighing cost of individual effort Stepp Cara Stepp Sensorimotor function disorder
Nawab Hamid Nawab Signal processing of neural activity; auditory scene analysi Tourville Jason Tourville Speech motor control; neuroimaging; neuroanatomy
Rucci Michele Rucci Active perception; visual neuroscience; robotics Vaina Lucia Vaina Computational models of vision; neuroimagi
Sen Kamal Sen Natural sound encoding; auditory plasticity; birdson Yazdanbakhsh Arash Yazdanbakhsh Human vision and its modeling; human electrophysiology and psychophysics
Somers David Somers Visual perception and cognition; neuroimaging; neural modeling
Teich Malvin Teich Biosignal analysis; audition; vision; biological imagin