[Comp-neuro] PhD studies in Computational Neuroscience and Neural Engineering at the University of Washington
Adrienne Fairhall
fairhall at u.washington.edu
Tue Oct 20 07:29:12 CEST 2015
PhD studies in Computational Neuroscience and Neural Engineering at the University of Washington
The University of Washington has a rich, active and highly collaborative community of researchers in systems and computational neuroscience (http://compneuro.washington.edu/) and neural engineering (http://uwin.washington.edu ). The University of Washington is a vibrant research university with a beautiful campus in a spectacular urban setting, with an ERC Center in Sensorimotor Neural Engineering (http://www.csne-erc.org/), the UW Institute for Neuroengineering, close connections to the local tech industry and the Allen Institute for Brain Science. UW is also a major data sciences center with interdisciplinary interactions coordinated through the eSciences Institute (http://escience.washington.edu). The city is a short distance from wilderness and outstanding summer and winter outdoor adventure.
While faculty advisors belong to a wide range of different departments, researchers come together regularly for seminars, journal clubs and a yearly retreat. A common set of graduate courses in computational neuroscience and neural engineering allows students to interact across departments. Many student funding opportunities exist through multiple training grants, UWIN, Data Sciences and the CSNE. Doctoral programs encourage collaborative research projects across departmental boundaries, but admissions and first-year course work and formal requirements are handled by graduate programs individually. Students interested in this area should apply to the program that best fits their background, interests and career goals.
Relevant programs, websites and application deadlines include:
Neuroscience, http://depts.washington.edu/behneuro/ , Dec 1
Bioengineering, http://depts.washington.edu/bioe/, Dec 1
Computer Science and Engineering, www.cs.washington.edu/, Dec 15
Applied Mathematics, www.amath.washington.edu/, Jan 15
Speech and Hearing, http://depts.washington.edu/sphsc/, Feb 15
Biological Physics, Structure and Design, http://depts.washington.edu/bpsd/, Dec 1
Biology, www.biology.washington.edu/, Dec 1
Psychology, http://web.psych.washington.edu/, Dec 1
Faculty include:
Wyeth Bair (Neuro, CSE): Computer modeling of visual cortical circuits
Geoff Boynton (Neuro, Psychology): Functional imaging of vision
Michael Buice (Applied Math (Affiliate), Allen Institute): Analysis of coding and computation in mouse cortex
Beth Buffalo (Neuro): Navigation and memory in primates
Bing Brunton (Biology and Data Sciences): High dimensional neural data
Howard Chizeck (CSE): Performance metrics for neural interfaces
Tom Daniel (Neuro, Biology): Sensorimotor integration and flight control
Horacio de la Iglesia (Neuro, Biology): Circadian rhythms
Emily Fox (Statistics, CS): Statistical modeling of connectivity and time series
Marcel den Nijs (Physics): Statistical mechanics of brain function
Adrienne Fairhall (Neuro, BPSD, Physics): Adaptive neural coding and sensorimotor integration
Eb Fetz (Neuro): Motor control and brain-computer interfaces
Ione Fine (Neuro, Psychology): Human visual psychophysics and imaging
David Gire (Neuro, Psychology): Mammalian olfaction
Bertil Hille (Neuro, BPSD): Biophysics of neuronal signal transduction
Greg Horwitz (Neuro): Cortical color processing
Nathan Kutz (A Math): Nonlinear dynamics and dimensionality reduction
Adrian KC Lee (Neuro, Speech and Hearing): Auditory scene analysis with imaging
Stefan Mihalas (Applied Math (Affiliate), Allen Institute): Analysis and modeling of cortical networks
Chet Moritz (Neuro, Rehabilitation Medicine): Neural prosthetics
Sheri Mizumori (Neuro, Psychology): Neurobiology of decisions, learning, and memory
Bill Moody (Neuro, Biology): Cortical development
Scott Murray (Neuro, Psychology): Visual neuroimaging
Jay Neitz (Neuro): Color vision
Jeff Ojemann (Neuro, Neurology): Human neural function and neuroprosthetics
Anitha Pasupathy (Neuro): Neurobiology of visual shape processing
David Perkel (Neuro): Neural mechanisms of vocal learning
Steve Perlmutter (Neuro): Motor control
Chantal Prat (Neuro, Speech and hearing): Auditory processing
Nino Ramirez (Neuro): Neural control of rhythmic activity
Rajesh Rao (Neuro, CSE): Computational modeling and brain-computer interfaces
Fred Rieke (Neuro, Physics, BPSD): Sensory signal processing in the retina
Jeff Riffell (Neuro, Biology): Neuroecology and chemosensation
Ed Rubel (Neuro): Development of the auditory system
Jay Rubinstein (Neuro, Bioengineering): Biophysics and engineering of cochlear implants
Eric Shea-Brown (Neuro, A Math): Nonlinear dynamics in neural computation and coding
Bill Spain (Neuro): Biophysics of neuronal computation
Kat Steele (Mec Eng): Human movement
Emo Todorov (Neuro, A Math, CSE): Optimal motor control
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