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  • CNS 102 ab: Brains, Minds, and Society

    9.00 Credits
    California Institute of Technology

    Introduction to the computations made by the brain during economic and social decision making and their neural substrates. First quarter: Signal detection theory. Unconscious and conscious processing. Emotion and the somatic marker hypothesis. Perceptual decision making. Reinforcement learning. Goal and habit learning. Facial processing in social neuroscience. Second quarter: Optimal Bayesian decision making and prospect theory. Standard and behavioral game theory. Evolution and group decision making. Collective decision making by animals. Exploration. Risk learning. Probabilistic sophistication. Instructors: Adolphs, Bossaerts, Camerer, O’Doherty. Part b not offered 2012–13. Prerequisite:    Bi/CNS 150 and CNS/Bi/Ph/CS 187, or instructor’s permission.
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  • CNS 105 ab: Frontiers in Neuroeconomics

    5.00 Credits
    California Institute of Technology

    The new discipline of Neuroeconomics seeks to understand the mechanisms underlying human choice behavior, born out of a confluence of approaches derived from Psychology, Neuroscience and Economics. This seminar will consider a variety of emerging themes in this new field. Some of the topics we will address include the neural bases of reward and motivation, the neural representation of utility and risk, neural systems for inter-temporal choice, goals vs habits, and strategic interactions. We will also spend time evaluating various forms of computational and theoretical models that underpin the field such as reinforcement-learning, Bayesian models and race to barrier models. Each week we will focus on key papers and/or book chapters illustrating the relevant concepts. Instructor: O’Doherty.
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  • CNS 107: Writing about Scientific Research

    9.00 Credits
    California Institute of Technology

    This will be a hands-on course in which students learn how to write a long essay or a book explaining complex scientific research. The course will focus on learning to write clearly and compellingly, to rewrite and edit, and, especially, to find one’s own writing voice. In the first part of the course, students will read, analyze, and critique published works, including some early drafts of well-known books. Together, we will study different writing styles; how chapters, articles, and books are structured; and basic narrative techniques and their execution. In the second part of the course students will select a cutting-edge scientific research topic to write about and produce a book chapter on that topic. Students’ works-in-progress will be analyzed each week in class. The finished chapters will be included in a manuscript for a book one might call The Caltech Student’s Guide to the Most Awesome Cutting Edge Science, 2012. Limited enrollment. Instructor: Mlodinow.
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  • CNS 110 abc: Cognitive Neuroscience Tools

    5.00 Credits
    California Institute of Technology

    This course covers tools and statistical methods used in cognitive neuroscience research. Topics vary from year to year depending on the interests of the students. Recent topics include statistical modeling for fMRI data, experimental design for fMRI, and the preprocessing of fMRI data. Not offered 2012–13.
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  • CNS 120: The Neuronal Basis of Consciousness

    9.00 Credits
    California Institute of Technology

    What are the correlates of consciousness in the brain? The course provides a framework for beginning to address this question using a reductionist point of view. It focuses on the neurophysiology of the primate visual system, but also discusses alternative approaches more suitable for work with rodents. Topics to be covered include the anatomy and physiology of the primate’s visual system (striate and extrastriate cortical areas, dorsal/ventral distinction, visual-frontal connections), iconic and working memory, selective visual attention, visual illusions, clinical studies (neglect, blind sight, split-brain, agnosia), direct stimulation of the brain, delay and trace associative conditioning, conscious and unconscious olfactory processing, and philosophical approaches to consciousness. Not offered 2012–13.
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  • CNS 130: Introduction to Human Memory

    9.00 Credits
    California Institute of Technology

    The course offers an overview of experimental findings and theoretical issues in the study of human memory. Topics include iconic and echoic memory, working memory, spatial memory, implicit learning and memory; forgetting: facts vs. skills, memory for faces; retrieval: recall vs. recognition, context-dependent memory, semantic memory, spreading activation models and connectionist networks, memory and emotion, infantile amnesia, memory development, and amnesia. Not offered 2012–13.
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  • CNS 131: The Psychology of Learning and Motivation

    9.00 Credits
    California Institute of Technology

    This course will serve as an introduction to basic concepts, findings, and theory from the field of behavioral psychology, covering areas such as principles of classical conditioning, blocking and conditioned inhibition, models of classical conditioning, instrumental conditioning, reinforcement schedules, punishment and avoidance learning. The course will track the development of ideas from the beginnings of behavioral psychology in the early 20th century to contemporary learning theory. Not offered 2012–13.
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  • CNS 148 ab: Selected Topics in Computational Vision

    9.00 Credits
    California Institute of Technology

    The class will focus on an advanced topic in computational vision: recognition, vision-based navigation, 3-D reconstruction. The class will include a tutorial introduction to the topic, an exploration of relevant recent literature, and a project involving the design, implementation, and testing of a vision system. Instructor: Perona. Part a not offered 2012–13; Part b offered 2012–13.
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  • CNS 150: Introduction to Neuroscience

    10.00 Credits
    California Institute of Technology

    General principles of the function and organization of nervous systems, providing both an overview of the subject and a foundation for advanced courses. Topics include the physical and chemical bases for action potentials, synaptic transmission, and sensory transduction; anatomy; development; sensory and motor pathways; memory and learning at the molecular, cellular, and systems level; and the neuroscience of brain diseases. Instructors: Adolphs, Lester.
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  • CNS 154: Artificial Intelligence

    9.00 Credits
    California Institute of Technology

    How can we build systems that perform well in unk nown environments and unforeseen situations? How can we develop systems that exhibit “intelligent” behavior, without prescribing explicit rules? How can we build systems that learn from experience in order to improve their performance? We will study core modeling techniques and algorithms from statistics, optimization, planning, and control and study applications in areas such as sensor networks, robotics, and the Internet. The course is designed for upper-level undergraduate and graduate students. Not offered 2012–13.
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