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 firstname.lastname@example.org.
BU Computational Neuroscience Faculty
|Jason BohlandSpeech neuroscience; neuroimaging; neuroinformatics||Daniel BullockNeural modeling of voluntary action and reinforcement learning|
|Gail CarpenterNeural networks; pattern recognition; neuromorphic technology||Michael CohenSpeech processing; measurement theory; cardiovascular modeling|
|Stephen ColburnBinaural hearing; neural modeling; hearing impairments||James CollinsSynthetic biology; systems biology; sensory prosthesis|
|Uri EdenMathematical and statistical modeling of neural spiking activity||Timothy GardnerSongbird neural circuit development; neural recording technology|
|Anatoli GorchetchnikovSpatial representations and navigation||Stephen GrossbergNeural modeling of vision; speech; cognition; emotion; motor control; navigation; mental disorders|
|Frank GuentherSpeech neuroscience; neural prosthesis; neuroimaging||Xue HanNeurotechnology, optogenetics, neural prosthetics|
|Michael HasselmoMemory-guided behavior; role of oscillations in cortical function||Marc HowardCognition and neural representation of time and space|
|Allyn HubbardAuditory physiology; VLSI; neurocomputing||Eric KolaczykStatistical analysis of network-indexed data; biological networks modeling and data analysis|
|Mark KonMachine learning and bioinformatics; neural network theory||Nancy KopellNeural dynamics; rhythmic behavior in neural networks|
|Mark KramerNeural dynamics; neural rhythms in normal and diseased brains||David MountainAuditory information processing; biomedical electronics|
|Hamid NawabSignal processing of neural activity; auditory scene analysis||Jason RittSensorimotor behaviors; active sensing; neural prosthesis|
|Michele RucciActive perception; visual neuroscience; robotics||Eric SchwartzComputational neuroscience; machine vision; neuroanatomy|
|Kamal SenNatural sound encoding; auditory plasticity; birdsong||Barbara Shinn-CunninghamAuditory neuroscience; spatial hearing; neuroimaging|
|David SomersVisual perception and cognition; neuroimaging; neural modeling||Cara SteppSensorimotor function disorders|
|Malvin TeichBiosignal analysis; audition; vision; biological imaging||Jason TourvilleSpeech motor control; neuroimaging; neuroanatomy|
|Lucia VainaComputational models of vision; neuroimaging||Massimiliano Versace Neural modeling; whole-brain systems; neuromorphic technology; cognitive robotics|
|Arash YazdanbakhshHuman vision and its modeling; human electrophysiology and psychophysics|