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CNS 247: Cerebral Cortex
6.00 Credits
California Institute of Technology
A general survey of the structure and function of the cerebral cortex. Topics include cortical anatomy, functional localization, and newer computational approaches to understanding cortical processing operations. Motor cortex, sensory cortex (visual, auditory, and somatosensory cortex), association cortex, and limbic cortex. Emphasis is on using animal models to understand human cortical function and includes correlations between animal studies and human neuropsychological and functional imaging literature. Instructor: Andersen. Given in alternate years; offered 2012–13.
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CNS 250 b: Topics in Systems Neuroscience
9.00 Credits
California Institute of Technology
The class focuses on quantitative studies of problems in systems neuroscience. Students will study classical work such as Hodgkin and Huxley’s landmark papers on the ionic basis of the action potential, and will move from the study of interacting currents within neurons to the study of systems of interacting neurons. Topics will include lateral inhibition, mechanisms of motion tuning, local learning rules and their consequences for network structure and dynamics, oscillatory dynamics and synchronization across brain circuits, and formation and computational properties of topographic neural maps. The course will combine lectures and discussions, in which students and faculty will examine papers on systems neuroscience, usually combining experimental and theoretical/modeling components. Instructor: Siapas.
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CNS 250 b - Topics in Systems Neuroscience
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CNS 251: Human Brain Mapping: Theory and Practice
9.00 Credits
California Institute of Technology
A course in functional brain imaging. An overview of contemporary brain imaging techniques, usefulness of brain imaging compared to other techniques available to the modern neuroscientist. Review of what is known about the physical and biological bases of the signals being measured. Design and implementation of a brain imaging experiment and analysis of data (with a particular emphasis on fMRI). Instructor: O’Doherty.
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CNS 251 - Human Brain Mapping: Theory and Practice
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CNS 253: Special Topics in Machine Learning
9.00 Credits
California Institute of Technology
This course is an advanced, research-oriented seminar in machine learning and AI meant for graduate students and advanced undergraduates. The topics covered in the course will vary, but will always come from the cutting edge of machine learning and AI research. Examples of possible topics are active learning and optimized information gathering, AI in distributed systems, computational learning theory, machine learning applications (on the Web, in sensor networks and robotics). Instructor: Staff.
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CNS 253 - Special Topics in Machine Learning
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CNS 255: Topics in Emotion and Social Cognition
9.00 Credits
California Institute of Technology
This course will cover recent findings in the psychology and neurobiology of emotion and social behavior. What role does emotion play in other cognitive processes, such as memory, attention, and decision making? What are the component processes that guide social behavior? To what extent is the processing of social information domain-specific? Readings from the current literature will emphasize functional imaging, psychophysical, and lesion studies in humans. Not offered 2012–13.
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CNS 255 - Topics in Emotion and Social Cognition
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CNS 256: Decision Making
6.00 Credits
California Institute of Technology
This special topics course will examine the neural mechanisms of reward, decision making, and reward-based learning. The course covers the anatomy and physiology of reward and action systems. Special emphasis will be placed on the representation of reward expectation; the interplay between reward, motivation, and attention; and the selection of actions. Links between concepts in economics and the neural mechanisms of decision making will be explored. Data from animal and human studies collected using behavioral, neurophysiological, and functional magnetic resonance techniques will be reviewed. Given in alternate years; not offered 2012–13.
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CNS 280: Research in Computation and Neural Systems
1.00 - 9.00 Credits
California Institute of Technology
No course description available.
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CNS 280 - Research in Computation and Neural Systems
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CNS 286 abc: Special Topics in Computation and Neural Systems
1.00 - 9.00 Credits
California Institute of Technology
Students may register with permission of the responsible faculty member.
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CNS 286 abc - Special Topics in Computation and Neural Systems
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CS 1: Introduction to Computer Programming
9.00 Credits
California Institute of Technology
A course on computer programming emphasizing the program design process and pragmatic programming skills. It will use the Python programming language and will not assume previous programming experience. Material covered will include data types, variables, assignment, control structures, functions, scoping, compound data, string processing, modules, basic input/output (terminal and file), as well as more advanced topics such as recursion, exception handling and object-oriented programming. Program development and maintenance skills including debugging, testing, and documentation will also be taught. Assignments will include problems drawn from fields such as graphics, numerics, networking, and games. At the end of the course, students will be ready to learn other programming languages in courses such as CS 11, and will also be ready to take more in-depth courses such as CS 2 and CS 4. Instructor: Vanier.
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CS 1 - Introduction to Computer Programming
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CS 101 abc: Special Topics in Computer Science
1.00 - 9.00 Credits
California Institute of Technology
The topics covered vary from year to year, depending on the students and staff. Primarily for undergraduates.
Prerequisite:
CS 21 and CS 38, or instructor’s permission.
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CS 101 abc - Special Topics in Computer Science
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