Department of Brain and Cognitive Sciences
The study of mind, brain, and behavior has grown in recent years with unprecedented speed. New avenues of approach, opened by developments in the biological and computer sciences, raise the hope that human beings, having achieved considerable mastery over the world around them, may also come closer to an understanding of themselves. The goal of the Department of Brain and Cognitive Sciences is to answer fundamental questions concerning intelligent processes and brain organization. To this end, the department focuses on four themes: molecular and cellular neuroscience, systems neuroscience, cognitive science, and computation. Several members of the department's faculty are affiliated with two major research centers: the Picower Institute for Learning and Memory and the McGovern Institute for Brain Research.
Research in cellular neuroscience deals with the biology of neurons, emphasizing the special properties of these cells as encoders, transmitters, and processors of information. Departmental researchers apply techniques of contemporary molecular and cellular biology to problems of neuronal development, structure, and function, resulting in a new understanding of the underlying basic components of the nervous system and their interactions. These studies have profound clinical implications, in part by generating a framework for the treatment of neurological and psychiatric disorders. Primary areas of interest include the development and plasticity of neuronal morphology and connectivity, the cellular and molecular bases of behavior in simple neuronal circuits, neurochemistry, and cellular physiology.
In the area of systems neuroscience, departmental investigators use a number of new approaches ranging from computation through electrophysiology to biophysics. Of major interest are the visual and motor systems where the scientific goals are to understand transduction and encoding of sensory stimuli into nerve messages, organization and development of sensorimotor systems, processing of sensorimotor information, and the sensorimotor performance of organisms. Also of major interest is neuromodulatory regulation, where the scientific goal is to understand the effects of rewarding or stressful environments on brain circuits.
In computation and cognitive science, particularly strong interactions exist between the Department of Brain and Cognitive Sciences, the Computer Science and Artificial Intelligence Laboratory, and the Center for Biological and Computational Learning, providing new intellectual approaches in areas including vision and motor control, and biological and computer learning. Computational theories are developed and tested within the framework of neurophysiological, psychological, and other experimental approaches. In the study of vision and motor control, complementary experimental work includes single-cell and multiple-cell neurophysiological recording as well as functional brain imaging. In the area of learning, which is seen as central to intelligent behavior, departmental researchers are working to develop theories of vision, motor control, neural circuitry, and language within an experimental framework.
In cognitive science, human experimentation is combined with formal and computational analyses to understand complex intelligent processes such as language, reasoning, memory, and visual information processing. There are applications in the fields of education, artificial intelligence, human-machine interaction, and in the treatment of language, cognitive, and other disorders.
Subfields in cognitive science include psycholinguistics, comprising sentence and word processing, language acquisition, and aphasia; visual cognition, including reading, imagery, attention, and perception of complex patterns such as faces, objects, and scenes; spatial cognition; memory; and the nature and development of concepts. Another key field is the study of perception—developmental and processing approaches focus on human and machine vision, and how visual images are encoded, stored, and retrieved, with current topics that include motion analysis, stereopsis, perceptual organization, and perceptual similarity. Other research includes functional brain imaging in normal subjects as well as studies of neurologically impaired patients in an attempt to understand brain mechanisms underlying normal human sensation, perception, cognition, action, and affect.
Bachelor of Science in Brain and Cognitive Sciences (Course 9)
Bachelor of Science in Computation and Cognition (Course 6-9)
Undergraduate Study
Bachelor of Science in Brain and Cognitive Sciences (Course 9)
Brain science and cognitive science are complementary and interactive in their research objectives. Both approaches examine perception, performance, and intervening processes in humans and animals. Central issues in the discipline include the interpretation of sensory experience; the reception, manipulation, storage, and retrieval of information within the nervous system; and the planning and execution of motor activity. Higher-level functions include the development of formal and informal reasoning skills; and the structure, acquisition, use, and internal representation of human language.
The Bachelor of Science in Brain and Cognitive Sciences prepares students to pursue advanced degrees or careers in artificial intelligence, machine learning, neuroscience, medicine, cognitive science, psychology, linguistics, philosophy, education research and technology, and human-machine interaction.
Methods of inquiry in the brain and cognitive sciences are drawn from molecular, cellular, and systems neuroscience; cognitive and perceptual psychology; computer science and artificial intelligence; linguistics; philosophy of language and mind; and mathematics. The undergraduate program is designed to provide instruction in the relevant aspects of these various disciplines. The program is administered by an Undergraduate Officer and an Undergraduate Administrator, consulting as necessary with faculty members from these disciplines who also serve as advisors to majors, helping them select a coherent set of subjects from within the requirements, including a research requirement. Members of the faculty are available to guide the research.
The Brain and Cognitive Sciences (BCS) major incorporates programming and computational skills to meet the increasing demands for those skills in both graduate school and the workforce. The major offers a tiered system of subjects with enough flexibility to allow multiple avenues through the Brain and Cognitive Sciences curriculum, meeting the divergent goals of BCS students. Individual guidance regarding career goals is available from faculty and from Career Advising and Professional Development.
Bachelor of Science in Computation and Cognition (Course 6-9)
The Department of Electrical Engineering and Computer Science and the Department of Brain and Cognitive Sciences offer a joint curriculum leading to a Bachelor of Science in Computation and Cognition that focuses on the emerging field of computational and engineering approaches to brain science, cognition, and machine intelligence. The curriculum provides flexibility to accommodate students with a wide diversity of interests in this area—from biologically inspired approaches to artificial intelligence to reverse engineering circuits in the brain. This joint program prepares students for careers that include advanced applications of artificial intelligence and machine learning, as well as further graduate study in systems and cognitive neuroscience. Students in the program are full members of both departments, with an academic advisor from the Department of Brain and Cognitive Sciences.
Inquiries
Information about this program is available from the Brain and Cognitive Sciences Academic Office, Room 46-2005, 617-253-7403.
Minor in Brain and Cognitive Sciences
The Minor in Brain and Cognitive Sciences consists of six subjects arranged in two levels of study, intended to provide students breadth in the field as a whole and some depth in an area of specialization.
| Core Subjects | ||
| 9.00 | Introduction to Psychological Science | 12 |
| 9.01 | Introduction to Neuroscience | 12 |
| 9.40 | Introduction to Neural Computation | 12 |
| Specialized Subjects | ||
| Select any combination of three subjects from Tier II and/or Tier III of the undergraduate degree program: | 36 | |
Tier II Subjects | ||
| Cellular and Molecular Neurobiology | ||
| The Human Brain | ||
| Developmental Neurobiology | ||
| Computational Psycholinguistics | ||
| Cellular Neurophysiology and Computing | ||
| Principles and Applications of Genetic Engineering for Biotechnology and Neuroscience | ||
| Perception | ||
| Neural Circuits for Cognition | ||
| Emergent Computations Within Distributed Neural Circuits | ||
| Computational Cognitive Science | ||
| Infant and Early Childhood Cognition | ||
Tier III Subjects | ||
| Disorders and Diseases of the Nervous System | ||
| The Brain and Its Interface with the Body | ||
| Materials Physics of Neural Interfaces | ||
| Total Units | 72 | |
Graduate Study
The Department of Brain and Cognitive Sciences offers programs of study leading to the doctoral degree in neuroscience or cognitive science. Areas of research specialization include cellular and molecular neuroscience, systems neuroscience, computation, and cognitive science. The graduate programs are designed to prepare students to pursue careers in research, teaching, or industry.
Doctor of Philosophy in Brain and Cognitive Sciences Fields
The doctor of philosophy in brain and cognitive sciences fields (the PhD program) is normally completed in approximately six years of full-time work, including summers. Institute requirements for the PhD are given in the section on General Degree Requirements. Formal coursework for the departmental program is intended to prepare the student to pass the general examinations and do original thesis research. The written and oral qualifying examination must be passed by the end of the spring term of the student’s second year.
All students are required to take an approved Foundational Core subject that provides an introduction to brain and cognitive studies from the viewpoint of systems neuroscience, molecular and cellular neuroscience, cognition, and computation and a statistics course relevant to their area of study. Further coursework includes 9.401 Tools for Robust Science, a subject developed to enhance scientific rigor, transparency, and reproducibility in neuroscience and cognitive science; and two elective subjects that allow each individual to obtain the appropriate background for research in their own area.
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Cellular and molecular neuroscience coursework emphasizes the current genetic, molecular, and cellular approaches to biological systems that are necessary to generate advances in neuroscience.
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Systems neuroscience coursework covers neuroanatomy, neurophysiology, and neurotransmitter chemistry, concentrating on the major sensory, motor, memory, and executive systems in the vertebrate brain. Specific ties to molecular neurobiology or computation may be emphasized, depending upon the research interests of the student.
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Computation coursework is intended to give both an understanding of empirical approaches to the study of the brain and animal behavior and a theoretical background for analyzing computational aspects of biological information processing.
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Cognitive science coursework covers such topics as language processing, language acquisition, cognitive development, natural computation, neural networks, connectionist models, and visual information processing. Students also choose seminars and coursework in linguistics, philosophy, logic, mathematics, or computer science, depending on the individual student's research program.
Graduate students begin a research apprenticeship immediately upon arrival with lab rotations in the first year. The rotations are intended to provide trainees with the opportunity to familiarize new students with the research being conducted and select a laboratory in which they will complete their dissertation research. Students complete three rotations during the first year, registering for 12 units of 9.921 Research in Brain and Cognitive Sciences in both the fall and spring terms; an optional fourth rotation is also available but must be approved by the rotation coordinator.
At the end of the first year, an advisory committee of two to four faculty members is formed. This committee monitors progress and, with membership changing as necessary, evolves into the thesis committee. Students must pass the oral and written qualifying exams for doctoral candidacy denoted by receiving a "P" Pass grade in 9.300 by the end of spring of the student’s second year. At the end of Y2, upon completing all required coursework, including 9.300, students can continue to conduct research and develop their thesis in preparation for a thesis proposal.
The thesis proposal is a description of a specific program of research which, if completed successfully and on the proposed timeline, the committee judges would be sufficient to earn a PhD from the BCS program. It is expected that the research embodied in the PhD dissertation be original and significant work, publishable in scientific journals. Thesis research normally requires 24–36 months of full-time activity after the qualifying examinations have been passed.
In addition to coursework, students are also expected to serve as teaching trainees for two terms. Teaching trainees will register for 12 units of 9.919 Teaching Brain and Cognitive Sciences during each term of teaching. This is typically done once in the second year of the program and again in the third year.
Students must also participate in two department-approved professional development activities, registering for 9.990 during each term of participation. One credit unit will be awarded only upon completion of two activities. A list of pre-approved professional development activities is available on the BCS website. Students may also petition other relevant professional development activities.
Upon successful completion of all program requirements, the student will be awarded the PhD in the corresponding field of brain and cognitive sciences.
Financial Support
Financial assistance is provided to qualified applicants in the form of traineeships, research assistantships, and a limited number of fellowships, subject to availability of funds. Prospective students are encouraged to apply for individual fellowships such as those sponsored by the National Institutes of Health, National Science Foundation and the National Defense Science and Engineering Graduate Fellowship Program to cover all or part of the cost of their education.
Inquiries
For additional information regarding teaching and research programs, contact the Academic Administrator, Department of Brain and Cognitive Sciences, Room 46-2005, 617-253-5741, or visit the department's website.
Financial Support
Financial assistance is provided to qualified applicants in the form of traineeships, research assistantships, teaching assistantships, and a limited number of fellowships, subject to availability of funds. Prospective students are encouraged to apply for individual fellowships such as those sponsored by the National Science Foundation and the National Defense Science and Engineering Graduate Fellowship Program to cover all or part of the cost of their education. The department's financial resources for non-US citizens are limited; international students are strongly encouraged to seek financial assistance for all or part of the cost of their education from non-MIT sources.
Inquiries
For additional information regarding teaching and research programs, contact the Academic Administrator, Department of Brain and Cognitive Sciences, Room 46-2005, 617-253-5741, or visit the department's website.
Faculty and Teaching Staff
Michale S. Fee, PhD
Glen V. (1946) and Phyllis F. Dorflinger Professor
Professor of Neuroscience
Head, Department of Brain and Cognitive Sciences
Laura E. Schulz, PhD
John and Dorothy Wilson Professor of Cognitive Sciences
Associate Head, Department of Brain and Cognitive Sciences
Josh McDermott, PhD
Professor of Cognitive Science
Associate Head, Department of Brain and Cognitive Sciences
(On sabbatical, spring)
Professors
Edward H. Adelson, PhD
John and Dorothy Wilson Professor of Vision Science
Professor of Brain and Cognitive Sciences
Polina Olegovna Anikeeva, PhD
Matoula S. Salapatas Professor of Materials Science and Engineering
Professor of Brain and Cognitive Sciences
Head, Department of Materials Science and Engineering
Mark Bear, PhD
Picower Professor of Neuroscience
Edward S. Boyden III, PhD
Y. Eva Tan Professor in Neurotechnology
Professor of Brain and Cognitive Sciences
Professor of Media Arts and Sciences
Professor of Biological Engineering
Emery N. Brown, MD, PhD
Edward Hood Taplin Professor of Medical Engineering
Warren M. Zapol Professor of Anaesthesia, HMS
Professor of Computational Neuroscience
Member, Institute for Data, Systems, and Society
Core Faculty, Institute for Medical Engineering and Science
Gloria Choi, PhD
Professor of Neuroscience
Kwanghun Chung, PhD
Eugene McDermott Professor in Brain Sciences and Human Behavior
Professor of Chemical Engineering
Professor of Brain and Cognitive Sciences
Core Faculty, Institute for Medical Engineering and Science
Robert Desimone, PhD
Doris and Don Berkey Professor
Professor of Neuroscience
James DiCarlo, MD, PhD
Peter deFlorez Professor of Neuroscience
Guoping Feng, PhD
James W. (1963) and Patricia T. Poitras Professor
Professor of Neuroscience
Ila Fiete, PhD
Professor of Computational Neuroscience
John D. E. Gabrieli, PhD
Grover Hermann Professor of Health Sciences and Technology
Professor of Cognitive Neuroscience
Core Faculty, Institute for Medical Engineering and Science
Edward A. Gibson, PhD
Professor of Cognitive Science
Ann M. Graybiel, PhD
Institute Professor
Professor of Brain and Cognitive Sciences
Myriam Heiman, PhD
John and Dorothy Wilson Professor of Biochemistry
Susan Hockfield, PhD
Professor of Neuroscience
President Emerita
Alan P. Jasanoff, PhD
Eugene McDermott Professor in Brain Sciences and Human Behavior
Professor of Biological Engineering
Professor of Brain and Cognitive Sciences
Mehrdad Jazayeri, PhD
Professor of Neuroscience
Nancy Kanwisher, PhD
Walter A. Rosenblith Professor
Professor of Cognitive Neuroscience
Roger Levy, PhD
Professor of Brain and Cognitive Sciences
J. Troy Littleton, MD, PhD
Menicon Professor in Neuroscience
Professor of Biology
Professor of Brain and Cognitive Sciences
Earl K. Miller, PhD
Picower Professor
Professor of Neuroscience
Elly Nedivi, PhD
William R. (1964) and Linda R. Young Professorship
Professor of Neuroscience
Professor of Biology
Tomaso A. Poggio, PhD
Eugene McDermott Professor in the Brain Sciences and Human Behavior
Professor Post-Tenure of Brain and Cognitive Sciences
Drazen Prelec, PhD
Digital Equipment Corp. Leaders for Global Operations Professor of Management
Professor of Management Science
Professor of Economics
Professor of Brain and Cognitive Sciences
Alexander Rakhlin, PhD
Richard Larson Professor of Brain and Cognitive Sciences
Professor of Brain and Cognitive Sciences
Member, Institute for Data, Systems, and Society
Rebecca R. Saxe, PhD
John W. Jarve (1978) Professor of Cognitive Science
Morgan Hwa-Tze Sheng, PhD
Professor of Brain and Cognitive Sciences
Pawan Sinha, PhD
Professor of Vision and Computational Neuroscience
Jean-Jacques E. Slotine, PhD
Professor of Mechanical Engineering
Professor of Brain and Cognitive Sciences
Member, Institute for Data, Systems, and Society
Mriganka Sur, PhD
Paul E. (1965) and Lilah Newton Professor
Professor of Neuroscience
Joshua B. Tenenbaum, PhD
Professor of Cognitive Science and Computation
Susumu Tonegawa, PhD
Picower Professor
Professor of Biology
Professor of Neuroscience
Li-Huei Tsai, PhD
Picower Professor
Professor of Neuroscience
(On sabbatical, spring)
Fan Wang, PhD
Professor of Brain and Cognitive Sciences
Matthew A. Wilson, PhD
Sherman Fairchild Professor
Professor of Neuroscience
Professor of Biology
Feng Zhang, PhD
James and Patricia Poitras (1963) Professor of Neuroscience
Professor of Biological Engineering
Associate Professors
Evelina Fedorenko, PhD
Associate Professor of Brain and Cognitive Neurosciences
Steven Flavell, PhD
Associate Professor of Brain and Cognitive Sciences
Mark Thomas Harnett, PhD
Associate Professor of Neuroscience
(On leave, fall)
Assistant Professors
Sven Dorkenwald, PhD
Assistant Professor of Brain and Cognitive Sciences
Linlin Fan, PhD
Samuel A. Goldblith Career Development Professor of Applied Biology
Assistant Professor of Brain and Cognitive Sciences
Sara Prescott, PhD
Gerald D. Laubach Career Development Professor
Assistant Professor of Biology
Assistant Professor of Brain and Cognitive Sciences
Nidhi Seethapathi, PhD
Assistant Professor of Brain and Cognitive Sciences
Assistant Professor of Electrical Engineering and Computer Science
Brandon Weissbourd, PhD
Thomas D. and Virginia W. Cabot Career Development Professor
Assistant Professor of Biology
Assistant Professor of Brain and Cognitive Sciences
Adjunct Professors
Tali Sharot, PhD
Adjunct Professor of Brain and Cognitive Sciences
Senior Lecturers
Laura Frawley, PhD
Senior Lecturer in Brain and Cognitive Sciences
Ken Zolot
Senior Lecturer of Brain and Cognitive Sciences
Lecturers
Aida Khan, PhD
Lecturer in Brain and Cognitive Sciences
Research Staff
Principal Research Scientists
Vikash Kumar Mansinghka, PhD
Principal Research Scientist of Brain and Cognitive Sciences
Research Scientists
Cameron Freer, PhD
Research Scientist of Brain and Cognitive Sciences
Michal Fux, PhD
Research Scientist of Brain and Cognitive Sciences
Melissa Kline Struhl, PhD
Research Scientist of Brain and Cognitive Sciences
Thomas O’Connell, PhD
Research Scientist of Brain and Cognitive Sciences
Max Siegel, PhD
Research Scientist of Brain and Cognitive Sciences
Kevin A. Smith, PhD
Research Scientist of Brain and Cognitive Sciences
Fabian Zaiser
Research Scientist of Brain and Cognitive Sciences
Professors Emeriti
Emilio Bizzi, MD, PhD
Institute Professor Emeritus
Professor Emeritus of Brain and Cognitive Sciences
Martha Constantine-Paton, PhD
Professor Emerita of Neuroscience
Professor Emerita of Biology
Alan V. Hein, PhD
Professor Emeritus of Experimental Psychology
Neville Hogan, PhD
Sun Jae Professor Emeritus of Mechanical Engineering
Professor Emeritus of Brain and Cognitive Sciences
Mary C. Potter, PhD
Professor Emerita of Psychology
William G. Quinn, PhD
Professor Emeritus of Neurobiology
Professor Emeritus of Biology
Kenneth Wexler, PhD
Professor Emeritus of Psychology
Professor Emeritus of Linguistics
