************************************************************************ GRADUATE TRAINING IN THE DEPARTMENT OF COGNITIVE AND NEURAL SYSTEMS (CNS) AT BOSTON UNIVERSITY ************************************************************************
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. The brochure may also be viewed on line at: http://www.cns.bu.edu/brochure/ and application forms at: http://www.bu.edu/grs/academics/admissions/index.html Applications for Fall 2006 admission and financial aid are now being accepted for PhD, MA, and BA/MA degree programs. To obtain a brochure describing CNS programs and a set of application materials, write, telephone, or fax: DEPARTMENT OF COGNITIVE AND NEURAL SYSTEMS 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 the attention of Mr. Robin Amos at: [EMAIL PROTECTED] 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) general test scores. GRE scores may be waived for MA candidates and, in exceptional cases, for PhD candidates, but absence of these scores will 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 and qualified undergraduates 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. The department’s training and research focus on two broad questions. The first question is: How does the brain control behavior? This is a modern form of the Mind/Body Problem. The second question is: How can technology emulate biological intelligence? This question needs to be answered to develop intelligent technologies that are well suited to human societies. These goals are symbiotic because brains are unparalleled in their ability to intelligently adapt on their own to complex and novel environments. Models of how the brain accomplishes this are developed through systematic empirical, mathematical, and computational analysis in the department. Autonomous adaptation to a changing world is also needed to solve many of the outstanding problems in technology, and the biological models have inspired qualitatively new designs for applications. CNS is a world leader in developing biological models that can quantitatively simulate the dynamics of identified brain cells in identified neural circuits, and the behaviors that they control. This new level of understanding is producing comparable advances in intelligent technology. CNS is a graduate department that is devoted to the interdisciplinary training of graduate students. The department awards MA, PhD, and BA/MA degrees. Its students are trained in a broad range of areas concerning computational neuroscience, cognitive science, and neuromorphic systems. The biological training includes study of the brain mechanisms of vision and visual object recognition; audition, speech, and language understanding; recognition learning, categorization, and long-term memory; cognitive information processing; self-organization and development, navigation, planning, and spatial orientation; cooperative and competitive network dynamics and short-term memory; reinforcement and motivation; attention; adaptive sensory-motor planning, control, and robotics; biological rhythms; consciousness; mental disorders; and the mathematical and computational methods needed to support advanced modeling research and applications. Technological training includes methods and applications in image processing, multiple types of signal processing, adaptive pattern recognition and prediction, information fusion, and intelligent control and robotics. The foundation of this broad training is the unique interdisciplinary curriculum of seventeen interdisciplinary graduate courses that have been developed at CNS. Each of these courses integrates the psychological, neurobiological, mathematical, and computational information needed to theoretically investigate fundamental issues concerning mind and brain processes and the applications of artificial neural networks and hybrid systems to technology. A student’s curriculum is tailored to his or her career goals with academic and research advisors. In addition to taking interdisciplinary courses within CNS, students develop important disciplinary expertise by also taking courses in departments such as biology, computer science, engineering, mathematics, and psychology. In addition to these formal courses, students work individually with one or more research advisors to learn how to carry out advanced interdisciplinary research in their chosen research areas. As a result of this breadth and depth of training, CNS students have succeeded in finding excellent jobs in both academic and technological areas after graduation. The CNS Department interacts with colleagues in several Boston University research centers, and with Boston-area scientists collaborating with these centers. The units most closely linked to the department are the Center for Adaptive Systems and the CNS Technology Laboratory. CNS is also part of a major new NSF Center of Excellence for Learning in Education, Science, and Technology (CELEST); see http://www.cns.bu.edu/CELEST. Students interested in neural network hardware can work with researchers in CNS and at the College of Engineering. In particular, CNS is part of a major ONR MURI Center for Intelligent Biomimetic Image Processing and Classification that includes colleagues who are developing neuromorphic VLSI chips. Other research resources include the campus-wide Program in Neuroscience, which unites cognitive neuroscience, neurophysiology, neuroanatomy, neuropharmacology, and neural modeling across the Charles River Campus and the School of Medicine; in sensory robotics, biomedical engineering, computer and systems engineering, and neuromuscular research within the College of Engineering; in dynamical systems within the Department of Mathematics; in theoretical computer science within the Department of Computer Science; and in biophysics and computational physics within the Department of Physics. Key colleagues in these units hold joint appointments in CNS in order to expedite training and research interactions with CNS core faculty and students. In addition to its basic research and training program, the department organizes an active colloquium series, various research and seminar series, and international conferences and symposia, to bring distinguished scientists from experimental, theoretical, and technological disciplines to the department. The department is housed in its own four-story building, which includes ample space for faculty and student offices and laboratories (active perception, auditory neuroscience, computational neuroscience, visual psychophysics, speech and language, sensory-motor control, neurobotics, computer vision, and technology), as well as an auditorium, classroom, seminar rooms, a library, and a faculty-student lounge. The department has a powerful computer network for carrying out large-scale simulations of behavioral and brain models and applications. FACULTY AND RESEARCH STAFF OF THE DEPARTMENT OF COGNITIVE AND NEURAL SYSTEMS AND CENTER FOR ADAPTIVE SYSTEMS Jelle Atema Professor of Biology Director, Boston University Marine Program (BUMP) PhD, University of Michigan Sensory biology, chemical signals, animal behavior, receptor physiology, behavioral ecology, chemical ecology, computational models, robotics Homepage: http://www.bu.edu/biology/Faculty_Staff/atema.html Helen Barbas Professor, Department of Health Sciences, Sargent College PhD, Physiology/Neurophysiology, McGill University, Canada Organization of the prefrontal cortex, investigation of pathways that transmit signals to prefrontal cortices from structures associated with sensory, cognitive, mnemonic and emotional processes Homepage: http://www.bu.edu/sargent/people/faculty/barbas_helen.html Virginia Best Research Associate, Department of Cognitive and Neural Systems PhD, Physiology, University of Sydney, Australia Auditory processing in humans, with a focus on spatial hearing, spatial attention and speech perception Daniel H. Bullock Associate Professor of Cognitive and Neural Systems, and Psychology PhD, Experimental Psychology, Stanford University Sensory-motor performance and learning, voluntary control of action, serial order and timing, cognitive development Homepage: http://cns.bu.edu/Profiles/Bullock.html Yongqiang Cao Senior Research Associate, Department of Cognitive and Neural Systems Ph.D., Applied Mathematics, York University, United Kingdom Brain modeling and biologically inspired computing; 3D vision, pattern recognition and large scale data mining Homepage: http://www.math.yorku.ca/Who/Grads/yqcao/ 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 Learning and memory, vision, synaptic processes, pattern recognition, remote sensing, medical database analysis, machine learning, differential equations, neural network technology transfer Homepage: http://cns.bu.edu/~gail/ Michael A. Cohen Associate Professor of Cognitive and Neural Systems and Computer Science PhD, Psychology, Harvard University Speech and language processing, measurement theory, neural modeling, dynamical systems, cardiovascular oscillations physiology and time series Homepage: http://cns-web.bu.edu/Profiles/Cohen.html H. Steven Colburn Professor of Biomedical Engineering PhD, Electrical Engineering, Massachusetts Institute of Technology Audition, binaural interaction, auditory virtual environments, signal processing models of hearing Homepage: http://www.bu.edu/dbin/bme/faculty/?prof=colburn&faculty=12&first=0 Howard Eichenbaum Professor of Psychology Director, Center for Memory and Brain Director, Cognitive Neurobiology Laboratory PhD, Psychology, University of Michigan Neurophysiological studies of how the hippocampal system mediates declarative memory Homepage: http://www.bu.edu/psych/faculty/eichenbaum/ William D. Eldred III Professor of Biology PhD, University of Colorado, Health Science Center Visual neurobiology and neurochemical signal transduction in the retina Homepage: http://www.bu.edu/biology/Faculty_Staff/eldred.html John C. Fiala Research Assistant Professor of Biology PhD, Cognitive and Neural Systems, Boston University Synaptic plasticity, dendrite anatomy and pathology, motor learning, robotics, neuroinformatics Homepage: http://synapses.bu.edu/lab/fiala/fiala.htm Daniel Franklin CELEST Director of Curriculum Development, Cognitive and Neural Systems PhD, Cognitive and Neural Systems, Boston University (pending) MBA, Statistics and Organizational Design, Boston University Learning and memory, development, education; deliver new and enhanced curriculum modules for use by teachers with students of all ages Jean Berko Gleason Professor of Psychology PhD, Harvard University Psycholinguistics Homepage: http://www.bu.edu/psych/faculty/gleason/ Sucharita Gopal Professor of Geography PhD, University of California at Santa Barbara Neural networks, computational modeling of behavior, geographical information systems, fuzzy sets, spatial cognition, multi-scale modeling, and information technology Homepage: http://www.bu.edu/geography/people/faculty/gopal/ Anatoly Gorshechnikov Research Associate, Department of Cognitive and Neural Systems PhD, Cognitive and Neural Systems, Boston University Theoretical modeling of spatial navigation in humans and animals with the emphasis on the hippocampal function, create printed educational materials on natural and artificial learning mechanisms Stephen Grossberg Wang Professor of Cognitive and Neural Systems Professor of Mathematics, Psychology, and Biomedical Engineering Chairman, Department of Cognitive and Neural Systems Director, Center for Adaptive Systems PhD, Mathematics, Rockefeller University Vision, audition, language, learning and memory, reward and motivation, cognition, development, sensory-motor control, mental disorders, applications Homepage: http://cns.bu.edu/Profiles/Grossberg/cv.html Frank Guenther Associate Professor of Cognitive and Neural Systems PhD, Cognitive and Neural Systems, Boston University MSE, Electrical Engineering, Princeton University Speech production, speech perception, biological sensory-motor control and functional brain imaging Homepage: http://cns.bu.edu/~guenther/ Catherine L. Harris Associate Professor of Psychology PhD, Cognitive Science and Psychology, University of California at San Diego Visual word recognition, psycholinguistics, cognitive semantics, second language acquisition, computational models of cognition Homepage: http://www.bu.edu/psych/faculty/charris/ Michael E. Hasselmo Professor of Psychology Director, Graduate Studies, Department of Psychology Director, Computational Neurophysiology Laboratory PhD, Experimental Psychology, Oxford University, United Kingdom Computational modeling and experimental testing of neuromodulatory mechanisms involved in encoding, retrieval and consolidation Homepage: http://www.bu.edu/psych/faculty/hasselmo/ Allyn Hubbard Professor of Electrical and Computer Engineering PhD, Electrical Engineering, University of Wisconsin VLSI circuit design: digital, analog, subthreshold analog, biCMOS, CMOS; information processing in neurons, neural net chips, synthetic aperture radar (SAR) processing chips, sonar processing chips; auditory models and experiments Homepage: http://www.bu.edu/dbin/bme/faculty/?prof=aeh 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 Mark Kon Professor of Mathematics PhD, Massachusetts Institute of Technology Neural network theory, functional analysis, mathematical physics, partial differential equations Homepage: http://math.bu.edu/people/mkon/s_index.html Norbert Kopco Research Associate, Department of Cognitive and Neural Systems PhD, Cognitive and Neural Systems, Boston University Lecturer, Department of Cybernetics and AI, Technical, University of Kosice, Slovakia Spatial auditory perception; behavioral studies and modeling of speech and non-speech perception in complex environments, auditory localization, plasticity, attention, and crossmodal factors in spatial hearing Homepage: http://cns.bu.edu/~kopco/ Nancy Kopell Professor of Mathematics PhD, Mathematics, University of California at Berkeley Dynamics of networks of neurons, applied mathematics and dynamical systems Homepage: http://cbd.bu.edu/members/nkopell.html Jacqueline A. Liederman Professor of Psychology Director, Brain, Behavior and Cognition Program PhD, Psychology, University of Rochester Developmental neuropsychology, neuropsychology, physiological psychology, dynamics of interhemispheric cooperation; prenatal correlates of neurodevelopmental disorders Homepage: http://www.bu.edu/psych/faculty/liederman/ Siegfried Martens Senior Research Associate, Department of Cognitive and Neural Systems PhD, Cognitive and Neural Systems, Boston University Learning models, pattern recognition, visualization, remote sensing, sensor fusion Homepage: http://cns.bu.edu/~sig/ Ennio Mingolla Professor of Cognitive and Neural Systems and Psychology PhD, Psychology, University of Connecticut Visual perception, mathematical modeling of visual processes Homepage: http://cns.bu.edu/~ennio/ Alfonso Nieto-Castanon Research Associate, Department of Cognitive and Neural Systems PhD, Cognitive and Neural Systems, Boston University Speech, statistics, signal processing, computational neuroscience Joseph Perkell Adjunct Professor of Cognitive and Neural Systems Senior Research Scientist, MIT Research Lab of Electronics, Speech Communication Group PhD, Massachusetts Institute of Technology Motor control of speech production Homepage: http://rleweb.mit.edu/rlestaff/p-perk.htm Marc Pomplun Adjunct Assistant Professor of Cognitive and Neural Systems Assistant Professor of Computer Science, University of Massachusetts, Boston PhD, Computer Science, University of Bielefeld, Germany Eye movements, visual attention, modeling of cognitive processes, human-computer interaction Homepage: http://www.cs.umb.edu/~marc/ 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 Homepage: http://www.psych.neu.edu/people/faculty/reeves.html Kevin Reilly Research Associate, Department of Cognitive and Neural Systems PhD, Speech and Hearing Science, University of Washington, Seattle Speech production, sensory-motor control and learning, computational neuroscience Michele Rucci Assistant Professor of Cognitive and Neural Systems PhD, Scuola Superiore S.-Anna, Pisa, Italy Vision, sensory-motor control and learning, and computational neuroscience Homepage: http://www.cns.bu.edu/~rucci/ Elliot Saltzman Associate Professor of Physical Therapy, Sargent College Senior Scientist, Haskins Laboratories, New Haven, CT PhD, Developmental Psychology, University of Minnesota Modeling and experimental studies of human sensorimotor control and coordination of the limbs and speech articulators, focusing on issues of timing in skilled activities Homepage: http://www.bu.edu/sargent/people/faculty/saltzman_elliot.html Fabrizio Santini Research Associate, Department of Cognitive and Neural Systems PhD, Computer Science, University of Florence, Italy Neuromorphic robotics, vision, neuroprocessors and large neural system simulations Robert Savoy Adjunct Associate Professor of Cognitive and Neural Systems Assistant in Experimental Psychology; Director, fMRI Education; Instructor Department of Radiology, Massachusetts General Hospital President, HyperVision Incorporated, Lexington, MA PhD, Experimental Psychology, Harvard University Computational neuroscience; visual psychophysics of color, form, and motion perception Teaching about functional MRI and other brain mapping methods Homepage: http://www.nmr.mgh.harvard.edu/NewFiles_Staff/savoy_robert.html 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 modeling Homepage: http://www.cns.bu.edu/pub/ericlee/ Robert Sekuler Adjunct Professor of Cognitive and Neural Systems Research Professor of Biomedical Engineering, College of Engineering, BioMolecular Engineering Research Center Frances and Louis H. Salvage Professor of Psychology, Brandeis University Consultant in neurosurgery, Boston Children's Hospital PhD, Psychology, Brown University Visual motion, brain imaging, relation of visual perception, memory, and movement Homepage: http://people.brandeis.edu/~sekuler/ Barbara Shinn-Cunningham Associate Professor of Cognitive and Neural Systems and Biomedical Engineering PhD, Electrical Engineering and Computer Science, Massachusetts Institute of Technology Psychoacoustics, audition, auditory localization, binaural hearing, sensorimotor adaptation, mathematical models of human performance Homepage: http://cns.bu.edu/~shinn/ David Somers Assistant Professor of Psychology PhD, Cognitive and Neural Systems, Boston University Functional MRI, psychophysical, and computational investigations of visual perception and attention Homepage: http://www.bu.edu/psych/faculty/somers/ Chantal E. Stern Associate Professor of Psychology and Program in Neuroscience, Boston University Associate Professor of Radiology, Harvard Medical School Director, Cognitive Neuroimaging Laboratory PhD, Experimental Psychology, Oxford University, United Kingdom Functional neuroimaging studies (fMRI and MEG) of learning and memory Homepage: http://www.bu.edu/psych/faculty/stern/ Timothy Streeter Research Associate, Department of Cognitive and Neural Systems MS, Physics, University of New Hampshire MA, Cognitive and Neural Systems, Boston University Spatial auditory perception, perceptual adaptation Malvin C. Teich Professor of Electrical and Computer Engineering, Biomedical Engineering, and Physics PhD, Cornell University Quantum optics and imaging, photonics, wavelets and fractal stochastic processes, biological signal processing and information transmission Homepage: http://people.bu.edu/teich/ Kanako Ueno Visiting Research Scholar, Department of Cognitive and Neural Systems PhD, Engineering, Tokyo University, Japan Evaluation, understanding, designing of acoustic fields from psychological viewpoint, modeling of cognition/perception in living environment Lucia Vaina Professor of Biomedical Engineering Research Professor of Neurology, School of Medicine PhD, Sorbonne Dres Science, National Politechnique Institute, Toulouse, France Computational visual neuroscience; theoretical engineering and neuroinformatics Homepage: http://www.bu.edu/bravi/people/lucia.html Takeo Watanabe Associate Professor of Psychology Director, Vision Sciences Laboratory PhD, Behavioral Sciences, University of Tokyo, Japan Perception of objects and motion and effects of attention on perception using psychophysics and brain imaging (f-MRI) Homepage: http://people.bu.edu/takeo/takeo/takeo.html Jeremy Wolfe Adjunct Professor of Cognitive and Neural Systems Professor of Ophthalmology, Harvard Medical School Psychophysicist, Brigham & Women’s Hospital, Surgery Department Director of Psychophysical Studies, Center for Clinical Cataract Research PhD, Massachusetts Institute of Technology Visual attention, pre-attentive and attentive object representation Homepage: http://www.brighamandwomens.org/surgery/research/facultypages/WolfeResearch.asp Curtis Woodcock Professor of Geography Director, Geographic Applications, Center for Remote Sensing PhD, University of California, Santa Barbara Biophysical remote sensing, particularly of forests and natural vegetation, canopy reflectance models and their inversion, spatial modeling, and change detection; biogeography; spatial analysis; geographic information systems; digital image processing Homepage: http://www.bu.edu/cees/people/faculty/woodcock/ CNS DEPARTMENT COURSE OFFERINGS CAS CN500 Computational Methods in Cognitive and Neural Systems CAS CN510 Principles and Methods of Cognitive and Neural Modeling I CAS CN520 Principles and Methods of Cognitive and Neural Modeling II CAS CN530 Neural and Computational Models of Vision CAS CN540 Neural and Computational Models of Adaptive Movement Planning and Control CAS CN550 Neural and Computational Models of Recognition, Memory and Attention CAS CN560 Neural and Computational Models of Speech Perception and Production CAS CN570 Neural and Computational Models of Conditioning, Reinforcement, Motivation and Rhythm CAS CN580 Introduction to Computational Neuroscience GRS CN700 Computational and Mathematical Methods in Neural Modeling GRS CN720 Neural and Computational Models of Planning and Temporal Structure in Behavior GRS CN730 Models of Visual Perception GRS CN740 Topics in Sensory-Motor Control GRS CN750 Comparative Analysis of Learning Systems (new course) GRS CN760 Topics in Speech Perception and Recognition GRS CN780 Topics in Computational Neuroscience GRS CN810 Topics in Cognitive and Neural Systems: Visual Event Perception GRS CN811 Topics in Cognitive and Neural Systems: Visual Perception GRS CN911, 912 Research in Neural Networks for Adaptive Pattern Recognition GRS CN915, 916 Research in Neural Networks for Vision and Image Processing GRS CN921, 922 Research in Neural Networks for Speech and Language Processing GRS CN925, 926 Research in Neural Networks for Adaptive Sensory-Motor Planning and Control GRS CN931, 932 Research in Neural Networks for Conditioning and Reinforcement Learning GRS CN935, 936 Research in Neural Networks for Cognitive Information Processing GRS CN941, 942 Research in Nonlinear Dynamics of Neural Networks GRS CN945, 946 Research in Technological Applications of Neural Networks GRS CN951, 952 Research in Hardware Implementations of Neural Networks CNS students also take a wide variety of courses in related departments. In addition, students participate in a weekly colloquium series, an informal lecture series, and student-run special interest groups, and attend lectures and meetings throughout the Boston area; and advanced students work in small research groups. LABORATORY AND COMPUTER FACILITIES The department is funded by fellowships, grants, and contracts from federal agencies and private foundations that support research in life sciences, mathematics, artificial intelligence, and engineering. Facilities include laboratories for experimental research and computational modeling in visual perception; audition, speech and language processing; sensory-motor control and robotics; and technology transfer. Data analysis and numerical simulations are carried out on a state-of-the-art network comprised of Sun workstations, Macintoshes, and both 32-bit and 64-bit PCs. A PC farm running BU’s own version of Linux (BU Linux v4.5 based on Fedora Core 3) is available as a distributed computational environment. All students have department supplied PCs on their desktops (running either Microsoft Windows XP Pro or BU Linux) allowing them to run their simulations either locally or remotely on one of the department’s workstations. Mathematical simulation and modeling are carried out using standard software packages such as Mathematica or Matlab, as well as SPlus and VisSim. The department also 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: Active Perception Laboratory Models of the visual system often examine steady-state levels of neural activity during presentations of visual stimuli. It is difficult, however, to envision how such steady-states could occur under natural viewing conditions, given that the projection of the visual scene on the retina is never stationary. The Active Perception Laboratory is dedicated to the investigation of the interactions between visual perception and behavior. Research focuses on the theoretical and computational analysis of the influences of motor activity on the sampling and representation of visual information, the coupling of models of neuronal systems with robotic systems, and the design of psychophysical experiments with human subjects. The Active Perception Laboratory includes extensive computational facilities that allow the execution of large-scale simulations of neural systems. Additional facilities include instruments for the psychophysical investigation of eye movements during visual analysis, including an accurate and non-invasive eye tracker, and robotic systems for the simulation of different types of behavior. The Active Perception Laboratory hosts Mr. T, a humanoid robot with two 6 degrees-of-freedom arms and a head/eye system designed to replicate visual input signals to the human eye. Auditory Neuroscience Laboratory The Auditory Neuroscience Laboratory in the Department of Cognitive and Neural Systems (CNS) is an experimental and theoretical laboratory focused on auditory perception, particular spatial auditory perception, plasticity, and attention. The laboratory contains numerous PCs used both as workstations for students to model and analyze data and to control laboratory equipment and run experiments. The other major equipment in the laboratory includes special-purpose signal processing and sound generating equipment, electromagnetic head tracking systems, a two-channel spectrum analyzer, and other miscellaneous equipment for producing, measuring, analyzing, and monitoring auditory stimuli. The Auditory Neuroscience Laboratory consists of three adjacent rooms in the basement of 677 Beacon Street (the home of the CNS Department). One room houses an 8 ft. by 8 ft. single-walled sound-treated booth as well as space for students. The second room is primarily used as student workspace for developing and debugging experiments. The third space houses a robotic arm, capable of automatically positioning a small acoustic speaker anywhere on the surface of a sphere of adjustable radius, allowing automatic measurement of the signals reaching the ears of a listener for a sound source from different positions in space, including the effects of room reverberation. Computer Vision/Computational Neuroscience Laboratory The Computer Vision/Computational Neuroscience Laboratory is comprised of an electronics workshop, including a surface-mount workstation, PCD fabrication tools, and an Alterra EPLD design system; an active vision laboratory 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. The laboratory supports research in the areas of neural modeling, computational neuroscience, computer vision, robotics, and fMRI imaging. The major question being addressed is the nature of representation of the visual world in the brain, in terms of observable neural architectures such as topographic mapping and columnar architecture. The application of novel architectures for image processing for computer vision and robotics is also a major topic of interest. Recent work in this area has included the design and patenting of novel actuators for robotic active vision systems, the design of real-time algorithms for use in mobile robotic applications, and the design and construction of miniature autonomous vehicles using space-variant active vision design principles. Recently one such vehicle has successfully driven itself on the streets of Boston. Applications of fMRI imaging to measuring the topographic structure of human primary and extra-striate visual cortex are a current focus of research. Sensory-Motor Control Laboratory The Sensory-Motor Control Laboratory supports experimental and computational studies of sensory-motor control. A computer controlled infrared WatSmart system allows measurement of large-scale (e.g. reaching) movements, and a pressure-sensitive graphics tablet allows studies of handwriting and other fine-scale movements. A second major component is a helmet-mounted, video-based, eye-head tracking system (ISCAN Corp, 1997). The latter’s camera samples eye position at 240Hz and also allows reconstruction of what subjects are attending to as they freely scan a scene under normal lighting. Thus the system affords a wide range of visuo-motor studies. The laboratory is connected to the department's extensive network of Linux and Windows workstations and Linux computational servers. Speech and Language Laboratory The Speech Laboratory includes facilities for analog-to-digital and digital-to-analog software conversion. 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. The laboratory also contains a network of Windows-based PC computers equipped with software for the analysis of functional magnetic resonance imaging (fMRI) data, including region-of-interest (ROI) based analyses involving software for the parcellation of cortical and subcortical brain regions in structural MRI images. Technology Laboratory The Technology Laboratory fosters the development of neural network models derived from basic scientific research, and facilitates the transition of the resulting technologies to software and applications. The Lab was established in 2001, with a grant from the Air Force Office of Scientific Research: “Information Fusion for Image Analysis: Neural Models and Technology Development.” Current projects focus on multi-level fusion and data mining in a geospatial context, in collaboration with the Boston University Center for Remote Sensing and the National Geospatial-Intelligence Agency. This research and development effort builds on models of opponent-color visual processing, boundary/feature contour system (BCS/FCS) and texture processing, and Adaptive Resonance Theory (ART) pattern learning and recognition, as well as other models of vision, associative learning, and prediction. Additional projects include collaborations with the Boston Medical Center, to develop methods for analysis of large-scale medical databases, currently to predict HIV resistance to antiretroviral therapy. Associated basic research projects are conducted within the joint context of scientific data and technological constraints. Emerging neural network technologies are embedded in the CNS Image Processing Toolkit and the CNS Neural Classifier Toolkit. Software, articles, and educational materials are available through the CELEST Technology Website (http://cns.bu.edu/techlab/), a growing resource for the NSF Center for Excellence for Learning in Education, Science, and Technology (http://cns.bu.edu/celest/). Visual Psychophysics Laboratory The Visual Psychophysics Laboratory occupies an 800-square-foot suite, including three dedicated rooms for data collection, and houses a variety of computer controlled display platforms, including Macintosh, Windows and Linux workstations. Ancillary resources for visual psychophysics include a computer-controlled video camera, stereo viewing devices, a photometer, and a variety of display-generation, data-collection, and data-analysis software. Affiliated Laboratories Affiliated CAS/CNS faculty members have additional laboratories ranging from visual and auditory psychophysics and neurophysiology, anatomy, and neuropsychology to engineering and chip design. These facilities are used in the context of faculty/student collaborations. ******************************************************************* DEPARTMENT OF COGNITIVE AND NEURAL SYSTEMS GRADUATE TRAINING ANNOUNCEMENT Boston University 677 Beacon Street Boston, MA 02215 Phone: 617/353-9481 Fax: 617/353-7755 Email: [EMAIL PROTECTED] Web: http://cns.bu.edu/ ******************************************************************* _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
