CNS graduate program
mike@PARK.BU.EDU
mike at PARK.BU.EDU
Thu Oct 13 21:02:40 EDT 1994
***********************************************
* *
* DEPARTMENT OF *
* COGNITIVE AND NEURAL SYSTEMS (CNS) *
* AT BOSTON UNIVERSITY *
* *
***********************************************
Stephen Grossberg, Chairman
Gail A. Carpenter, Director of Graduate Studies
The Boston University Department of Cognitive and Neural Systems offers
comprehensive graduate training in the neural and computational principles,
mechanisms, and architectures that underlie human and animal behavior, and
the application of neural network architectures to the solution of
technological problems.
Applications for Fall, 1995 admission and financial aid are now being
accepted for both the MA and PhD degree programs.
To obtain a brochure describing the CNS Program and a set of application
materials, write, telephone, or fax:
Department of Cognitive & Neural Systems
Boston University
111 Cummington Street, Room 240
Boston, MA 02215
617/353-9481 (phone)
617/353-7755 (fax)
or send via email your full name and mailing address to:
rll at cns.bu.edu
Applications for admission and financial aid should be received by the
Graduate School Admissions Office no later than January 15. Late
applications will be considered until May 1; after that date applications
will be considered only as special cases.
Applicants are required to submit undergraduate (and, if applicable,
graduate) transcripts, three letters of recommendation, and Graduate Record
Examination (GRE) scores. The Advanced Test should be in the candidate's area
of departmental specialization. GRE scores may be waived for MA candidates
and, in exceptional cases, for PhD candidates, but absence of these scores
may decrease an applicant's chances for admission and financial aid.
Non-degree students may also enroll in CNS courses on a part-time basis.
Description of the CNS Department:
The Department of Cognitive and Neural Systems (CNS) provides advanced
training and research experience for graduate students interested in the
neural and computational principles, mechanisms, and architectures that
underlie human and animal behavior, and the application of neural network
architectures to the solution of technological problems. Students are trained
in a broad range of areas concerning cognitive and neural systems, including
vision and image processing; speech and language understanding; adaptive
pattern recognition; cognitive information processing; self-organization;
associative learning and long-term memory; computational neuroscience; nerve
cell biophysics; cooperative and competitive network dynamics and short-term
memory; reinforcement, motivation, and attention; adaptive sensory-motor
control and robotics; active vision; and biological rhythms; as well as the
mathematical and computational methods needed to support advanced modeling
research and applications. The CNS Department awards MA, PhD, and BA/MA
degrees.
The CNS Department embodies a number of unique offerings. It has developed a
curriculum that features twelve interdisciplinary graduate courses each of
which integrates the psychological, neurobiological, mathematical, and
computational information needed to theoretically investigate fundamental
issues concerning mind and brain processes and the applications of neural
networks to technology. Each course is typically taught once a week in the
evening to make the program available to qualified students, including
working professionals, throughout the Boston area. Nine additional research
course are also offered. In these courses, one or two students meet
regularly with one or two professors to pursue advanced reading and
collaborative research. Students develop a coherent area of expertise by
designing a program that includes courses in areas such as Biology, Computer
Science, Engineering, Mathematics, and Psychology, in addition to courses in
the CNS Department.
The CNS Department prepares students for PhD thesis research with scientists
in one of several Boston University research centers or groups, and with
Boston-area scientists collaborating with these centers. The unit most
closely linked to the department is the Center for Adaptive Systems (CAS).
Students interested in neural network hardware work with researchers in CNS,
the College of Engineering, and at MIT Lincoln Laboratory. Other research
resources include distinguished research groups in neurophysiology,
neuroanatomy, and neuropharmacology at the Medical School and the Charles
River campus; in sensory robotics, biomedical engineering, computer and
systems engineering, and neuromuscular research within the Engineering
School; in dynamical systems within the Mathematics Department; in
theoretical computer science within the Computer Science Department; and in
biophysics and computational physics within the Physics Department.
In addition to its basic research and training program, the Department offers
a colloquium series, seminars, conferences, and special interest groups which
bring many additional scientists from both experimental and theoretical
disciplines into contact with the students.
1994-95 CAS MEMBERS and CNS FACULTY:
Jelle Atema
Helen Barbas
Jacob Beck
Daniel H. Bullock
Gail A. Carpenter
Laird Cermak
Michael A. Cohen
H. Steven Colburn
William D. Eldred III
Paolo Gaudiano
Jean Berko Gleason
Stephen Grossberg
Frank H. Guenther
Thomas G. Kincaid
Nancy Kopell
Ennio Mingolla
Alan Peters
Andrzej Przybyszewski
Adam Reeves
William D. Ross
Robert Savoy
Eric L. Schwartz
Robert Sekuler
Allen Waxman
Jeremy Wolfe
More information about the Connectionists
mailing list