Synopsis
Computational neuroscience, the computatioal study of brain
function, has a very strong tradition at Carnegie Mellon.
Allen Newell and Herb Simon's ground-breaking work in symbolic artificial
intelligence, James McClelland and Geoff Hinton's pioneering
work on neural networks and parallel distributed processing
are both attempts to understand human intelligence and cognition.
Both are grounded in a synergistic marriage between
computer science and psychology. The newer generation of CS faculty, fostered
by the Center for
the Neural Basis of Cognition, are exploring
the use of physiological techniques
(electrophysiological and functional imaging) and statistical
learning theories to connect the
computational study of brain function to neural processes in
the brain.
The current missions are: (1)
to bridge the three generations of computational neuroscience
approaches: symbolic
processing, parallel distributed processing and
statistical learning theories, (2) to bridge the different
levels of understanding of brain functions: from genes and
molecules, to synapses and neurons, to systems, cognition
and behaviors, (3) and to build a new generation of adaptive
computers.
Training Programs in SCS Ph.D. students in
the School of Computer Science
can engage in computational
neuroscience research and study either through the
CS-CNBC specialization in the Department of
Computer Science or the
CNBC track within the Robotics program.
Students will be considered for admission to the
SCS-CNBC programs only after they are admitted to the CS program
or the Robotics program either in the same year or after they
have enrolled in the SCS programs.
There is no formal undergraduate CS track in computational neuroscience at
present. Undergraduate students can take related courses as elective
CS credits.
CNBC offers a
NSF sponsored national undergraduate CNBC summer program.
10-12 selected students attend each year.
Courses :
CNBC Courses
Synopsis
Computational Biology is a fast growing field that couples computer
science and biology. It includes research in gene sequencing,
protein folding, functional genomics and bioinformatics. Two
major foci of research and training in computational molecular biology
at CMU are the
Pittsburgh Supercomputing Center
and the
Department of Biology
.
A new Merck
Computational Biology and Chemistry Program administered
by the Mellon Collge of Science of Carnegie
Mellon provides undergraduate and graduate fellowships to
computer science students to engage in cross-disciplinary
computational biology and chemistry
research. SCS faculty, particularly the faculty in
the Center for
Automtic Learning and Discovery, are interested in
applying machine learning and
data-mining techniques to study computational biological problems.
Training Programs in SCS Ph.D. students in
the Department of Computer Science
can engage in computational
biology research and study under a SCS faculty in
collaboration with faculty in allied departments in the
Mellon Collge of Science. There is no formal SCS program
in computational biology at present.
Undergraduate and graduate SCS students are eligible
for the
Merck
fellowship in Computational Biology and Chemistry
in the Mellon Collge of Science.
CS undergraduate students can double major in biology.
There is also a
BS in Biological Science/Computer Science track
administered by the Mellon College of Science.
The Department of Biological Sciences also offers a
national undergraduate summer program sponsored
by NSF, Howard Huges Medical Institute, Beckman Institute
and Merck Company Foundation.
Courses :
Department of Biology Courses
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