This course focuses on: (a) statistical tools that are useful for revealing structure in experimental data; and (b) representation and learning in statistical systems and the implications of these systems for the study of cognitive processes. Examples of the applications of computational methods from the cognitive neuroscience literature are examined throughout the course. Topics covered include: principal component analysis, multi-dimensional scaling, hierarchical and non-hierarchical clustering, regression, classification, time series modeling via hidden Markov models and Kalman filters, Hebbian learning, competitive learning, maximum likelihood estimation, and Bayesian estimation.

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PREREQUISITES: Includes knowledge of calculus. Knowledge of linear algebra and probability theory will also be helpful (though prior knowledge of these areas is not strictly required). Homeworks require students to write computer programs (preferably in MatLab)

Course Information

Introduces the various methods used in neurobiological research. Covers anatomical, behavioral, molecular, and physiological approaches to studying neural organization and function and concludes with a research project that extends over a period of five weeks. STUDENTS MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN SECTION.

BUILDING: MEL | ROOM: 111

PREREQUISITES: STT 212 and NSC 201/BCS 240 with lab

Introduces the various methods used in neurobiological research. Covers anatomical, behavioral, molecular, and physiological approaches to studying neural organization and function and concludes with a research project that extends over a period of five weeks. STUDENTS MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN SECTION.

BUILDING: MEL | ROOM: 111

PREREQUISITES: STT 212 and NSC 201/BCS 240 with lab

Introduces the various methods used in neurobiological research. Covers anatomical, behavioral, molecular, and physiological approaches to studying neural organization and function and concludes with a research project that extends over a period of five weeks. STUDENTS MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN SECTION.

BUILDING: MEL | ROOM: 111

PREREQUISITES: STT 212 and NSC 201/BCS 240 with lab

Provides an interdisciplinary view of modern research into how the human brain solves the problems involved in perception, including how we perceive the three-dimensional structure of the world, how we recognize objects and how visual information is used to control action in the world. Students read contemporary research and, through classroom discussion and critical essays, explore and analyze the questions and debates that define contemporary perceptual science.

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PREREQUISITES: BCS 151

This course considers how we comprehend the auditory environment. Topics include the physical stimulus for hearing, the physiology of the auditory system (both at the periphery and in the central nervous system), the psychophysics of basic auditory perception (e.g., hearing thresholds), higher level auditory perception (including auditory scene analysis and the perception of complex auditory events such as speech and music), and hearing disorders. Considers research from a diverse range of perspectives including behavioral research, cognitive neuroscience, studies of individual differences, and research that adopts a comparative perspective.

BUILDING: HUTCH | ROOM: 473

PREREQUISITES: BCS 110 or BCS 111

Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers.

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In this interdisciplinary project course, graduate students will work in mixed teams to develop an artifact that addresses a research question and/or infrastructure need in the intersection of cognitive science and artificial intelligence. Students will learn principles of design by participating in the stages of brainstorming, specification, initial design, prototyping, refinement, and evaluation. The artifacts created by this course could include online showcases, demonstrations, tutorials, blogs, scientific papers, and software components to support further research. The course is required for students supported by the BCS/CS NRT graduate training grant, and should be taken the semester after the corresponding methods course.

BUILDING: MEL | ROOM: 301B

PREREQUISITES: DSC 530

Introduction to computer vision, including camera models, basic image processing, pattern and object recognition, and elements of human vision. Specific topics include geometric issues, statistical models, Hough transforms, color theory, texture, and optic flow. CSC 449, a graduate-level course, requires additional readings and assignments.

BUILDING: GRGEN | ROOM: 101

PREREQUISITES: MTH 161 and CSC 242; MTH 165 strongly recommended

Examines the neurobiology of anxiety/phobic conditions, mood disorders, and chronic psychotic states, particularly schizophrenia. Considers definitions of psychiatric syndromes, the problems of diagnosis, brain organization, and neurotransmitter systems involved in state functions. Introduces research approaches including epidemiologic, phenomenologic, family/adoption, longitudinal descriptive, psychophysiologic, neuropharmacologic, genetic linkage, and postmortem studies; emphasizes recent in vivo brain imaging and neuroreceptor studies.

BUILDING: MOREY | ROOM: 321

PREREQUISITES: BCS 240 (NSC 201)

This is a rotating topics course that includes the study of both the computations performed by the brain and of computational models of neuronal responses. Primary focus will be on the visual system. This course is taught at an introductory level in odd numbered years and an advanced level in even numbered years.

BUILDING: GAVET | ROOM: 206

PREREQUISITES: Intro to Computational Neuroscience, or permission of instructor. Programming experience is required.

Course Information

This course will provide an introduction to computational neuroscience, the study of both the computations performed by the brain, and of computational models of neuronal responses. In the course we will focus on the visual system.

BUILDING: HYLAN | ROOM: 102

PREREQUISITES: Programming experience is required, as well as familiarity with linear algebra and simple probability theory.

Course Information

Advanced treatment of the development of the nervous system, including the nature/nurture issue and factors that influence the development of neural organization and function. Topics include the production, migration, differentiation and survival of neurons; functional specialization of neural regions; axonal navigation; target mapping. Compares and contrasts developmental plasticity with forms of neural plasticity exhibited in adults.

BUILDING: GRGEN | ROOM: 109

PREREQUISITES: BCS 240 (NSC 201)

Advanced treatment of the development of the nervous system, including the nature/nurture issue and factors that influence the development of neural organization and function. Topics include the production, migration, differentiation and survival of neurons; functional specialization of neural regions; axonal navigation; target mapping. Compares and contrasts developmental plasticity with forms of neural plasticity exhibited in adults.

BUILDING: HYLAN | ROOM: 101

PREREQUISITES: BCS 240 (NSC 201)

Advanced treatment of the development of the nervous system, including the nature/nurture issue and factors that influence the development of neural organization and function. Topics include the production, migration, differentiation and survival of neurons; functional specialization of neural regions; axonal navigation; target mapping. Compares and contrasts developmental plasticity with forms of neural plasticity exhibited in adults.

BUILDING: HYLAN | ROOM: 201

PREREQUISITES: BCS 240 (NSC 201)

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An examination of signed languages and the cognitive constraints that shape them, through a detailed consideration of the structure of American Sign Language and other natural signed languages of the world. Includes training in sign language notation and analysis.

BUILDING: LCHAS | ROOM: 104

PREREQUISITES: ASL 106 or permission of the instructor. B or better in ASL 106.

A workshop in which students will write a proposal for either a pre-doctoral or post-doctoral NRSA fellowship from NIH. Students will review old NRSA proposals, both successful and unsuccessful and analyze the components of a successful proposal. Through process of peer review and discussion, students will write and revise the main sections of an NRSA proposal, culminating in a penultimate proposal that will be reviewed by two mock study sections – one in the class and one by faculty in BCS and CVS. Reviews from these study sections will be returned a week before the deadline for NRSA proposals at NIH. Students are encouraged to use the class to prepare real proposals that they can submit to NIH.

BUILDING: MEL | ROOM: 324

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The purpose of this 1-credit course is to provide first- and second-year graduate students with a set of guiding principles for optimizing their progression through the PhD program. The following topics will be discussed: fulfilling program requirements, advising and mentoring, time management, conference presentations and journal publications, writing skills for journals and grants, how to juggle, persist, drop, and collaborate in your research projects, the post-PhD job market and qualifications required for success.

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