B.U. Cognitive and Neural Systems Grad. Training

CAS/CNS inquiries at cns.bu.edu
Fri Nov 8 10:26:49 EST 1996




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, 1997, 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:

Boston University
677 Beacon Street
Boston, MA 02215

617/353-9481 (phone) 
617/353-7755 (fax)

or send via email your full name and mailing address to:

inquiries 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

Stephen Grossberg, Chairman 
Gail A. Carpenter, Director of Graduate Studies

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 curriculum that consists of 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 afternoon or 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

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.  Students interested in neural network hardware
work with researchers in CNS, at 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
conducts a seminar series, as well as conferences and symposia, which
bring together distinguished scientists from both experimental and
theoretical disciplines.

The department is housed in its own new four story building which
includes ample space for faculty and student offices and laboratories,
as well as an auditorium, classroom and seminar rooms, library, and
faculty-student lounge.


The department is funded by grants and contracts from federal agencies
which support research in life sciences, mathematics, artificial
intelligence, and engineering. Facilities include laboratories for
experimental research and computational modeling in visual perception,
speech and language processing, and sensory-motor control. Data
analysis and numerical simulations are carried out on a state-of-
the-art computer network comprised of Sun workstations, Silicon
Graphics workstations, Macintoshes and PCs.  All students have access
to X terminals or UNIX workstation consoles, a selection of color
systems and PCs, the Boston University connection machine and network
of SGI machines, and standard modeling and mathematical simulation
packages such as Mathematica, VisSim, Khoros, and Matlab.

The department maintains a core collection of books and journals, and
has access both to the Boston University Libraries and to the many
other collections of the Boston Library Consortium.

In addition, several specialized facilities and software are available
for use. These include:

Computer Vision/Computational Neuroscience Laboratory:

The Computer Vision/Computational Neuroscience Lab is comprised of an
electronics workshop, including surface mount workstation, PCD
fabrication tools, and Alterra EPLD design system; a light machine
shop; an active vision lab including actuators and video hardware; and
systems for computer aided neuroanatomy and application of computer
graphics and image processing to brain sections and MRI images.

Neurobotics Laboratory:

The Neurobotics Lab utilizes wheeled mobile robots to study potential
applications of neural networks in several areas, including adaptive
dynamics and kinematics, obstacle avoidance, path planning and
navigation, visual object recognition, and conditioning and
motivation. The robot currently has three Pioneer robots equipped with
sonar and visual sensors, one B-14 robot with a moveable camera,
sonars, infrared, and bump sensors, and two Khepera miniature robots
with infrared proximity detectors. Other platforms may be investigated
in the future.

Psychoacoustics Laboratory:

The Psychoacoustics Lab houses a newly installed, 8' x 8' sound-proof
booth.  The laboratory is extensively equipped to perform both
traditional psychoacoustic experiments as well as experiments using
interactive auditory virtual-reality stimuli.  The major equipment
dedicated to the psychoacoustics laboratory will include a Sun
mini-computer (networked with other computing facilities in the CNS
Department); two Pentium-based personal computers; two Power-PC-based
Macintosh computers; a 50-MHz array processor capable of generating
auditory stimuli in real time; programmable attenuators;
analog-to-digital converters; digital-to-analog converters; a
real-time head tracking system; a special-purpose signal-processing
hardware system capable of generating "spatialized" stereo auditory
signals in real time; a two-channel oscilloscope; a two-channel
spectrum analyzer; various cables, headphones, and other miscellaneous
electronics equipment; and software for signal generation,
experimental control, data analysis, and word processing. Speech and
Language Laboratory

Sensory-Motor Control Laboratory:
The Sensory-Motor Control Lab is networked with the CNS Department's
many state-of-the-art computational/graphics workstations for
numerical simulations and display. The lab is also equipped to allow
experimental studies of motor kinematics.  An infrared WatSmart system
allows measurement of large scale movements, and a pressure-sensitive
graphics tablet allows studies of handwriting and other fine-scale
movements.  An optical system capable of non-invasive measurements of
smooth pursuit and saccadic eye movements is being added in Fall of

Speech and Language Laboratory:

The Speech and Language Lab includes facilities for analog to digital
and digital to analog software.  The Ariel equipment allows reliable
synthesis and playback of speech waveforms.  An Entropic signal
processing package provides facilities for detailed analysis,
filtering, spectral construction, and formant tracking of the speech
waveform.  Various large databases such as TIMIT and TIdigits are
available for testing algorithms of speech recognition.  For high
speed processing, the department provides supercomputer facilities to
speed filtering and data analysis.

Visual Psychophysics Laboratory:

The Visual Psychophysics Lab occupies an 800 square foot suite,
including three dedicated rooms for data collection, and houses a
variety of computer controlled display platforms, including Silicon
Graphics, Inc.  (SGI) Onyx RE2, SGI Indigo2 High Impact, SGI Indigo2
Extreme, Power Computing (Macintosh compatible) PowerTower Pro 225,
and Macintosh 7100/66 workstations. Ancillary resources for visual
psychophysics include computer-controlled video camera, stereo viewing
glasses, prisms, and a photometer, and a variety of display
generation, data collection, and data analysis software.


Jelle Atema
Professor of Biology
Director, Boston University Marine Program (BUMP)
PhD, University of Michigan
Sensory physiology and behavior.

Aijaz Baloch 
Research Associate of Cognitive and Neural Systems 
PhD, Electrical Engineering, Boston University 
Neural modeling of role of visual attention in recognition, learning &
motor control, computational vision, adaptive control systems,
reinforcement learning.
Helen Barbas
Associate Professor of Health Sciences, Sargent College 
PhD, Physiology/Neurophysiology, McGill University 
Organization of the prefrontal cortex, evolution of the neocortex.

Jacob Beck 
Research Professor of Cognitive and Neural Systems 
PhD, Psychology, Cornell University 
Visual perception, psychophysics, computational models.

Daniel H. Bullock 
Associate Professor of Cognitive and Neural Systems and Psychology 
PhD, Psychology, Stanford University 
Real-time neural systems, sensory-motor learning and control,
evolution of intelligence, cognitive development.

Gail A. Carpenter 
Professor of Cognitive and Neural Systems and Mathematics 
Director of Graduate Studies, Department of Cognitive and Neural Systems 
PhD, Mathematics, University of Wisconsin, Madison 
Pattern recognition, categorization, machine learning, differential

Laird Cermak
Director, Memory Disorders Research Center
Boston Veterans Affairs Medical Center
Professor of Neuropsychology, School of Medicine 
Professor of Occupational Therapy, Sargent College 
PhD, Ohio State University 
Memory disorders.

Michael A. Cohen 
Associate Professor of Cognitive and Neural Systems and Computer Science 
Director, CAS/CNS Computation Labs 
PhD, Psychology, Harvard University 
Speech and language processing, measurement theory, neural modeling,
dynamical systems.

H. Steven Colburn 
Professor of Biomedical Engineering 
PhD, Electrical Engineering, Massachusetts Institute of Technology 
Audition, binaural interaction, signal processing models of hearing.

Howard Eichenbaum
Professor of Psychology
PhD, Psychology, University of Michigan
Neurophysiological studies of how the hippocampal system is involved
in reinforcement learning, spatial orientation, and declarative
William D. Eldred III 
Associate Professor of Biology 
PhD, University of Colorado, Health Science Center 
Visual neural biology. 

Paolo Gaudiano 
Assistant Professor of Cognitive and Neural Systems 
PhD, Cognitive and Neural Systems, Boston University 
Computational and neural models of robotics, vision, adaptive
sensory-motor control, and behavioral neurobiology.

Jean Berko Gleason 
Professor of Psychology 
PhD, Harvard University 

Doug Greve 
Research Associate of Cognitive and Neural Systems 
PhD, Cognitive and Neural Systems, Boston University 
Active vision.

Stephen Grossberg 
Wang Professor of Cognitive and Neural Systems 
Professor of Mathematics, Psychology, and Biomedical Engineering 
Director, Center for Adaptive Systems 
Chairman, Department of Cognitive and Neural Systems 
PhD, Mathematics, Rockefeller University 
Theoretical biology, theoretical psychology, dynamical systems,
applied mathematics.

Frank Guenther 
Assistant Professor of Cognitive and Neural Systems 
PhD, Cognitive and Neural Systems, Boston University 
Biological sensory-motor control, spatial representation, speech

J. Pieter Jacobs 
Visiting Scholar, Cognitive and Neural Systems 
MMA, MM, Music, Yale University 
MMus, Music, University of Pretoria 
MEng, Electromagnetism, University of Pretoria 
Aspects of motor control in piano playing; the interface between
psychophysical and cognitive phenomena in music perception.

Thomas G. Kincaid
Professor of Electrical, Computer and Systems Engineering, 
College of Engineering 
PhD, Electrical Engineering, Massachusetts Institute of Technology 
Signal and image processing, neural networks, non-destructive testing.

Nancy Kopell 
Professor of Mathematics 
PhD, Mathematics, University of California at Berkeley 
Dynamical systems, mathematical physiology, pattern formation in
biological/physical systems.

Ennio Mingolla 
Associate Professor of Cognitive and Neural Systems and Psychology 
PhD, Psychology, University of Connecticut 
Visual perception, mathematical modeling of visual processes.

Alan Peters 
Chairman and Professor of Anatomy and Neurobiology, School of Medicine 
PhD, Zoology, Bristol University, United Kingdom 
Organization of neurons in the cerebral cortex, effects of aging on
the primate brain, fine structure of the nervous system.

Andrzej Przybyszewski 
Senior Research Associate of Cognitive and Neural Systems 
PhD, Warsaw Medical Academy 
Retinal physiology, mathematical and computer modeling of dynamical
properties of neurons in the visual system.

Adam Reeves
Adjunct Professor of Cognitive and Neural Systems 
Professor of Psychology, Northeastern University 
PhD, Psychology, City University of New York 
Psychophysics, cognitive psychology, vision.

Mark Rubin 
Research Assistant Professor of Cognitive and Neural Systems 
Research Physicist, Naval Air Warfare Center, China Lake, CA (on leave) 
PhD, Physics, University of Chicago 
Neural networks for vision, pattern recognition, and motor control.

Elliot Saltzman
Associate Professor of Physical Therapy, Sargent College
Assistant Professor, Department of Psychology and Center for the 
Ecological Study of Perception and Action
University of Connecticut, Storrs, CT
Research Scientist, Haskins Laboratories, New Haven, CT
PhD, Developmental Psychology, University of Minnesota
Modeling and experimental studies of human speech production.
Robert Savoy
Adjunct Associate Professor of Cognitive and Neural Systems 
Scientist, Rowland Institute for Science 
PhD, Experimental Psychology, Harvard University 
Computational neuroscience; visual psychophysics of color, form, and
motion perception.

Eric Schwartz
Professor of Cognitive and Neural Systems; Electrical, Computer and 
Systems Engineering; and Anatomy and Neurobiology 
PhD, High Energy Physics, Columbia University 
Computational neuroscience, machine vision, neuroanatomy, neural

Robert Sekuler 
Adjunct Professor of Cognitive and Neural Systems 
Research Professor of Biomedical Engineering, College of Engineering, 
BioMolecular Engineering Research Center 
Jesse and Louis Salvage Professor of Psychology, Brandeis University 
PhD, Psychology, Brown University 
Visual motion, visual adaptation, relation of visual perception,
memory, and movement.

Barbara Shinn-Cunningham
Assistant Professor of Cognitive and Neural Systems
PhD, Electrical Engineering and Computer Science, 
Massachusetts Institute of Technology 
Psychoacoustics, audition, auditory localization, binaural hearing,
sensorimotor adaptation, mathematical models of human performance.

Gary Shyi 
Visiting Scholar, Cognitive and Neural Systems 
PhD, Experimental Psychology, State University of New York at Stony Brook 
Spatial attention, visual object recognition, 3-D mental objects of

Louis Tassinary 
Visiting Scholar, Cognitive and Neural Systems 
PhD, Psychology, Dartmouth College 
Dynamics of affective states as they relate to instigated and ongoing
cognitive processes.

Malvin Teich
Professor of Electrical and Computer Systems Engineering and Biomedical
PhD, Cornell University
Quantum optics, photonics, fractal stochastic processes, information
transmission in biological sensory systems.

Takeo Watanabe 
Assistant Professor of Psychology 
PhD, Behavioral Sciences, University of Tokyo 
Perception of objects and motion and effects of attention on
perception using psychophysics and brain imaging (f-MRI).

Allen Waxman 
Adjunct Associate Professor of Cognitive and Neural Systems 
Senior Staff Scientist, MIT Lincoln Laboratory 
PhD, Astrophysics, University of Chicago 
Visual system modeling, mobile robotic systems, parallel computing,
optoelectronic hybrid architectures.

James Williamson
Research Associate of Cognitive and Neural Systems 
PhD, Cognitive and Neural Systems, Boston University 
Image processing and object recognition. Particular interests are: dynamic
binding, self-organization, shape representation, and classification.

Jeremy Wolfe 
Adjunct Associate Professor of Cognitive and Neural Systems 
Associate Professor of Ophthalmology, Harvard Medical School 
Psychophysicist, Brigham & Women's Hospital, Surgery Dept. 
Director of Psychophysical Studies, Center for Clinical Cataract Research 
PhD, Massachusetts Institute of Technology 
Visual attention, preattentive and attentive object representation.



Boston University
677 Beacon Street
Boston, MA 02215

Phone: 617/353-9481 
Fax:   617/353-7755 
Email: inquiries at cns.bu.edu 
Web: http://cns-web.bu.edu/

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