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Course Criteria
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6.00 Credits
Intensive survey of cognitive science. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered from behavioral, computational, and neural perspectives.
Prerequisite:
Prereq: Permission of instructor
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3.00 Credits
Survey and primary literature review of major areas in molecular and cellular neurobiology. Covers neurotrophin signaling and cell survival, neuronal and homeostatic plasticity, basic circuit formation and molecular features of sensory processing, and neurological/psychiatric disease mechanisms. Includes lectures and exams, and involves presentation and discussion of primary literature. 9.015 recommended, though the core subjects can be taken in any sequence.
Prerequisite:
Prereq: Permission of instructor
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3.00 Credits
Survey and primary literature review of major topic areas in molecular and cellular neurobiology. Covers neurogenomics, nervous system formation, axonal pathfinding, cytoskeletal regulation, synapse formation, neurotransmitter release, and cellular neurophysiology. Includes lectures and exam, together with presentation and discussion of primary literature.
Prerequisite:
Prereq: None
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2.00 Credits
Consists of a series of laboratories designed to give students experience with basic techniques for conducting systems neuroscience research. Includes sessions on anatomical, neurophysiological, and data acquisition and analysis techniques, and ways these techniques are used to study nervous system function. Training provided in the art of scientific writing with feedback designed to improve writing skills. Assignments include weekly preparation for lab sessions, two major lab reports and a series of basic computer programming tutorials (MATLAB). Involves the use of experimental animals. Enrollment limited.
Prerequisite:
Prereq: 9.01
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3.00 Credits
Highlights the interplay between cellular and molecular storage mechanisms and the cognitive neuroscience of memory. Emphasis on human and animal models of hippocampal mechanisms and function. Lectures and discussion of papers.
Prerequisite:
Prereq: 9.01
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3.00 Credits
Studies the organization of the mammalian visual system and the manner in which shape, color, texture, motion, and depth are processed.
Prerequisite:
Prereq: Permission of instructor
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3.00 Credits
Examines the neural bases of visual and auditory processing for perception and sensorimotor control. Focuses on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans. Studies visual pattern, color and depth perception, auditory responses and speech coding, and spatial localization.
Prerequisite:
Prereq: 9.01 or permission of instructor
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4.00 Credits
An advanced subject covering anatomical, physiological, behavioral, and computational studies of the central nervous system relevant to speech and hearing. Students learn primarily by discussions of scientific papers on topics of current interest. Recent topics include neural circuits in the auditory brainstem, organization and processing in the auditory cortex, auditory reflexes and descending systems, functional imaging of the human auditory system, quantitive methods for relating neural responses to behavior, speech motor control, and cortical representation of language.
Prerequisite:
Prereq: HST.723 or permission of instructor
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3.00 Credits
Surveys general principles and specific examples of motor control in biological systems. Emphasizes the neural mechanisms underlying different aspects of movement and movement planning. Covers sensory reception, reflex arcs, spinal cord organization, pattern generators, muscle function, locomotion, eye movement, and cognitive aspects of motor control. Functions of central motor structures, including cerebellum, basal ganglia, and cerebral cortex. Cortical plasticity, motor learning and computational approaches to motor control, and motor disorders are discussed.
Prerequisite:
Prereq: 9.01 or permission of instructor
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4.00 Credits
Provides students with the basic tools for analyzing experimental data, properly interpreting statistical reports in the literature, and reasoning under uncertain situations. Topics cover three theories: probability, statistical, and the linear model. Probability theory covers axioms of probability, discrete and continuous probability models, law of large numbers, and the Central limit theorem. Statistical theory covers estimation, likelihood theory, Bayesian methods, bootstrap and other Monte Carlo methods, as well as hypothesis testing, confidence intervals, elementary design of experiments principles and goodness-of-fit. The linear model theory covers the simple regression model and the analysis of variance. Places equal emphasis on theory, data analyses, and simulation studies.
Prerequisite:
Prereq: Calculus II (GIR) or permission of instructor
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