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  • 9 48J: Philosophical Issues in Brain Science

    3.00 Credits
    Massachusetts Institute of Technology

    An introduction to some central philosophical questions about the mind, specifically those intimately connected with contemporary psychology and neuroscience. Discussions focus on arguments over innate concepts; 'mental images' as pictures in the head; whether color is in the mind or in the world; and whether there can be a science of consciousness. Explains the relevant parts of psychology and neuroscience as the subject proceeds. Prerequisite:    Prereq: None
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  • 9 50: Research in Brain and Cognitive Sciences

    0.00 Credits
    Massachusetts Institute of Technology

    Laboratory research in brain and cognitive science, using physiological, anatomical, pharmacological, developmental, behavioral, and computational methods. Each student carries out an experimental study under the direction of a member of the faculty. Project must be approved in advance by the faculty supervisor and the Director of the Undergraduate Program. Written presentation of results is required. Prerequisite:    Prereq: 9.00 or permission of instructor
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  • 9 520: Statistical Learning Theory and Applications

    3.00 Credits
    Massachusetts Institute of Technology

    Focuses on the problem of supervised and unsupervised learning from the perspective of modern statistical learning theory, starting with the theory of multivariate function approximation from sparse data. Develops basic tools such as regularization, including support vector machines for regression and classification. Derives generalization bounds using stability. Discusses current research topics such as manifold regularization, sparsity, feature selection, bayesian connections and techniques. Discusses applications in areas such as computer vision, speech recognition, and bioinformatics. Also covers advances in the neuroscience of the cortex and their impact on learning theory and applications. Includes a final project. Prerequisite:    Prereq: 6.867, 6.041, 18.06, or permission of instructor
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  • 9 56J: Abnormal Language

    3.00 Credits
    Massachusetts Institute of Technology

    Introduction to the linguistic study of language pathology, concentrating on experimental approaches and theoretical explanations. Discussion of Specific Language Impairment, Down syndrome, William's syndrome, autism, normal aging, Parkinson's disease, Alzheimer's disease, hemispherectomy, and aphasia. Focuses on the comparison of linguistic abilities among these syndromes, while drawing clear comparisons with first- and second-language acquisition. Topics include the lexicon, morphology, syntax, semantics, and pragmatics. Relates the lost linguistic abilities in these syndromes to properties of the brain. Prerequisite:    Prereq: 24.900 or permission of instructor
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  • 9 57J: Language Acquisition

    3.00 Credits
    Massachusetts Institute of Technology

    Covers the major results in the study of first-language acquisition concentrating on the development of linguistic structure, including morphology, syntax, and semantics. Universal aspects of development are discussed, as well as a variety of cross-linguistic phenomena. Theories of language learning are considered, including parameter-setting and maturation. Prerequisite:    Prereq: 24.900 or permission of instructor
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  • 9 591J: Language Processing

    3.00 Credits
    Massachusetts Institute of Technology

    Seminar in real-time language comprehension focusing on models of sentence and discourse comprehension from linguistic, psychology and artificial intelligence literature, including symbolic and connectionist models. Topics include ambiguity resolution; linguistic complexity; the use of lexical, syntactic, semantic, pragmatic, contextual, and prosodic information in language comprehension; the relationship between the computational resources available in working memory and the language processing mechanism; and the psychological reality of linguistic representations. Prerequisite:    Prereq: Permission of instructor
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  • 9 59J: Psycholinguistics

    3.00 Credits
    Massachusetts Institute of Technology

    Examines central topics in language processing, such as the structure and processing of language at multiple levels of analysis, including phonetics, words, sentences, intonation and discourse. Also discusses language acquisition and the relationship between language and thought. Emphasis on quantitative methods to investigate language, including reading and listening paradigms, neural imaging and computational modeling. Prerequisite:    Prereq: 24.900 or permission of instructor or Coreq: 9.00
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  • 9 601J: Language Acquisition I

    3.00 Credits
    Massachusetts Institute of Technology

    Lectures, reading, and discussion of current theory and data concerning the psychology and biology of language acquisition. Emphasizes learning of syntax, semantics, and morphology, together with some discussion of phonology, and especially research relating grammatical theory and learnability theory to empirical studies of children. Prerequisite:    Prereq: Permission of instructor
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  • 9 611J: Natural Language and the Computer Representation of Knowledge

    3.00 Credits
    Massachusetts Institute of Technology

    Relationship between computer representation of knowledge and the structure of natural language. Emphasizes development of the analytical skills necessary to judge the computational implications of grammatical formalisms, and uses concrete examples to illustrate particular computational issues. Efficient parsing algorithms for context-free grammars; augmented transition network grammars. Question answering systems. Extensive laboratory work on building natural language processing systems. Prerequisite:    Prereq: 6.034
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  • 9 63: Laboratory in Visual Cognition

    3.00 Credits
    Massachusetts Institute of Technology

    Teaches principles of experimental methods in human visual perception and attention, including how to design, conduct, analyze, and present experiments in visual cognition. Combines lectures and hands-on experimental exercises. Requires two experimental projects, at least one of which is conducted independently; the other may be done as part of a team. Assignments include individual reports on experimental designs, written articles, and presentations critiquing three team experiments observed in class. Instruction and practice in written and oral communication provided. Experience with MATLAB is recommended. Limited to 16. Prerequisite:    Prereq: 9.07; 9.00, 9.01, or permission of instructor
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