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  • 9 322J: Genetic Methods in Neurobiology

    3.00 Credits
    Massachusetts Institute of Technology

    Presents selected topics in which genetic analysis informs neurobiological issues, including action potential conduction and synaptic release in Drosophila, axon guidance in nematodes and Drosophila, olfaction and orienting behavior in nematodes. Studies hippocampal and cortical circuitry and function in mice, as well as genetically-determined and genetically-influenced human traits and diseases. Reviews methods such as mutagenesis, gene knockouts and transgene constructs, tissue-specific expression vectors, optically, chemically and thermally-inducible gene activation and inactivation. Prerequisite:    Prereq: Permission of instructor
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  • 9 34J: Sensory and Social Orders

    3.00 Credits
    Massachusetts Institute of Technology

    Explores how sensory and social systems engage in a variety of similar decision-making processes. Examines the use of partial orderings of alternative choices (or models) in interpreting available data, and how both use constraints to relate and narrow the choice options. Examples show how maximum likelihood equilibria depend upon context. Coverage includes important aspects of perception and cognition, decision-making in social systems, and elementary game theory. Prerequisite:    Prereq: 9.00 or permission of instructor
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  • 9 35: Sensation and Perception

    4.00 Credits
    Massachusetts Institute of Technology

    Studies how the senses work and how physical stimuli are transformed into signals in the nervous system. Examines how the brain uses those signals to determine what's out there in the world. Discusses all the senses, with emphasis on vision. Topics include perception of color, motion, form, and depth. Homework problems involve MATLAB. Prerequisite:    Prereq: Physics II (GIR), Calculus II (GIR); or permission of instructor
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  • 9 357: Current Topics in Vision Science

    2.00 Credits
    Massachusetts Institute of Technology

    Advanced seminar on issues of current interest in human and machine vision. Topics vary from year to year. Participants discuss current literature as well as their ongoing research. Prerequisite:    Prereq: Permission of instructor
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  • 9 364: Research in Cognitive Architectures

    0.00 - 6.00 Credits
    Massachusetts Institute of Technology

    Human models of the world are based on observed regularities in the behavior of events and actions. Such cognitive models play a dominant role not only in perception, but also in thought. Research projects address the structure of such models, and how they are manipulated and used. Prerequisite:    Prereq: Permission of instructor
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  • 9 37J: Anigrafs

    3.00 Credits
    Massachusetts Institute of Technology

    Many complex systems can be represented as a society of agents who aggregate information to reach a collective decision. An Anigraf makes explicit how one agent's knowledge is related to another's, and how the form of these relationships affects the social choice. Simulations are used to discover emergent properties of different Anigraf models. Topics include elementary graph theory, network designs, partial orders, voting strategies, coordination games, and dynamics of choice. Applied examples taken from insect societies, neural networks, studies of co-evolution, cognition, and group decision-making. Prerequisite:    Prereq: 9.34 or permission of instructor
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  • 9 41: Research and Communication in Neuroscience and Cognitive Science

    2.00 Credits
    Massachusetts Institute of Technology

    Emphasizes research and scientific communication. Instruction and practice in written and oral communication provided. Based on his/her UROP research, each student creates a full length paper and a poster as part of an oral presentation at the end of the course. Other assignments include reading and critiquing published research papers. Prior to starting class, students must have collected enough data from their UROP research projects to write a paper. Limited to juniors and seniors. Prerequisite:    Prereq: 9.URG, permission of instructor
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  • 9 422J: Principles of Neuroengineering

    3.00 Credits
    Massachusetts Institute of Technology

    Covers principles underlying current and future technologies for brain analysis and engineering, for neurology, psychiatry, and neuroscience. Focuses on using biophysical, biochemical, and anatomical models to understand technology design constraints governing ability to observe and alter brain function. Topics include functional magnetic resonance imaging, electromagnetic recording/stimulation, neuropharmacology, optical cellular imaging, and gene/stem-cell therapy. Design projects by student teams. Limited to 28. Prerequisite:    Prereq: 8.03, 6.003, 9.01; or permission of instructor
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  • 9 455J: Neurotechnology Ventures

    2.00 Credits
    Massachusetts Institute of Technology

    Special seminar focusing on the challenges of envisioning, planning, and building start-ups that are commercializing innovations from neuroscience and the blossoming domain of neuroengineering. Topics include neuroimaging and diagnostics, psychophysiology, rehab feedback, affective computing, neurotherapeutics, surgical tools, neuropharmaceuticals, deep brain stimulation, prosthetics and neurobionics, artificial senses, nerve regeneration, and more. Each class is devoted to a specific topic area. The first hour covers the topic in survey form. The second hour is dedicated to a live case study of a specific organization. A broad spectrum of issues, from the deeply technical through market opportunity, is explored in each class. Prerequisite:    Prereq: Permission of instructor
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  • 9 472J: Neuroimaging Cells and Circuits

    3.00 Credits
    Massachusetts Institute of Technology

    Offers an introduction to imaging methods at the forefront of modern neurobiology. Emphasis is placed on in vivo imaging in the context of neural systems research. Specific topics covered include classical optics, fluorescence and fluorescent dyes, multiphoton microscopy, reflectance-based imaging methods, functional and anatomical magnetic resonance imaging, and molecular neuroimaging. Both applications and underlying principles are discussed, and lectures are supplemented by demonstrations of imaging techniques in the laboratory. Limited to 15. Prerequisite:    Prereq: Permission of instructor
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