View Full Version : Graduate study in Cognitive & Neural Systems at Boston University

David Lukas
10-17-1991, 02:58 AM
(please post)

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Stephen Grossberg, Chairman

The Boston University Department of Cognitive and Neural Systems
offers comprehensive advanced training in the neural and computational
principles, mechanisms, and architectures that underly human and
animal behavior, and the application of neural network architectures
to the solution of outstanding technological problems.

Applications for Fall, 1992 admissions 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 or telephone:

Department of Cognitive & Neural Systems
Boston University
111 Cummington Street, Room 240
Boston, MA 02215
(617) 353-9481

or send a mailing address to: kellyd@cns.bu.edu

Applications for admission and financial aid should be received by
the Graduate School Admissions Office no later than January 15.

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.

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 outstanding 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; cooperative and competitive network dynamics and
short-term memory; reinforcement, motivation, and attention; adaptive
sensory-motor control and robotics; 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 features. It has
developed a core curriculum that
consists of ten 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.
Additional advanced courses, including research seminars, are also offered.
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. 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
core curriculum.

The CNS Department prepares students for 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. The Center for
Adaptive Systems is also part of the Boston Consortium for Behavioral and
Neural Studies, a Boston-area multi-institutional Congressional Center of
Excellence. Another multi-institutional Congressional Center of Excellence
focused at Boston University is the Center for the Study of Rhythmic
Processes. 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

1991 FACULTY and STAFF of CNS and CAS:

Daniel H. Bullock Nancy Kopell
Gail A. Carpenter John W.L. Merrill
Michael A. Cohen Ennio Mingolla
H. Steven Colburn Alan Peters
Paolo Gaudiano Adam Reeves
Stephen Grossberg James T. Todd
Thomas G. Kincaid Allen Waxman