University Catalog 2005-2006

Neurosciences (NEUR)

School of Computational Sciences

College of Arts and Sciences

601/PSYC 527 Developmental Neuroscience (2:2:0) Prerequisite: PSYC 372 or BIOL 213 and 303. Introduction to neurobiology with overview of embryological development of the nervous system in evolutionary context. Regional and systems neuroanatomy introduced by study of the mammalian visual system with a comparative perspective.

602/BIOS 721 Cellular Neuroscience (3:3:0) Prerequisite: admission to PhD program in biosciences or neuroscience or permission of instructor. Detailed overview of the functioning and interactions of the cellular elements of the central nervous system. Topics include structure and function relationships, the chemical, physical, and electrical basis of neural signaling, local versus long-distance signaling, functional consequences of variations in the typical action potential, and essentials of synaptic conduction.

603/PSYC 531 System Neuroscience (3:2:3)Prerequisite: PSYC 527. Functional anatomy of the brains of mammals, with emphasis on regional and systems neuroanatomy of humans. Anatomy is correlated with material from clinical neurology where possible. Laboratory component includes brain dissections and clinical correlations.

604/CSI 639 Ethics in Scientific Research (3:3:0) Examination of ethical issues in scientific research. Reflects on purpose of scientific research and review of foundational principles for evaluating ethical issues. Offers skills for survival in scientific research through training in moral reasoning, and teaching of responsible conduct. Discusses ethical issues in research, and teaches how to apply critical thinking skills to design, execution, and analysis of experiments. Issues include using animals and humans in research, ethical standards in the computer community, and research fraud. May present currently accepted guidelines for behavior in data ownership, manuscript preparation, and conduct of persons in authority.

701 Neurophysiology Laboratory (2:0:6) Prerequisite: NEUR 602 or permission of instructor. Hands-on training in current techniques of modern neurophysiology. Acquaints students with theoretical basis of each technique and trains the student in the laboratory skills necessary to perform each technique. Includes both intracellular and extracellular recording techniques. Preparations include both vertebrates and invertebrates. Meets once weekly for six hours.

709 Neuroscience@GMU Seminars (1:1:0) Prerequisite: admission to neuroscience PhD program. Special seminar series for first year neuroscience PhD students. Detailed overview of neuroscience research at Mason. Each week, a different neuroscience laboratory and principal investigator gives two lectures to students. First is introductory lecture on the neuroscience basics necessary to appreciate laboratory research theme and mission. Second is a more practical description of the active research program, possibly including a visit to the laboratory.

710 Special Topics in Neuroscience (1:1:0) Prerequisite: admission to neuroscience PhD program. Examines topics in neurosciences, including neurogenetics, neural imaging, and the competing computational and biological approaches to understanding the mind.

741 Introduction to Neuroimaging (3:3:0) Prerequisite: NEUR 602 or 603 or permission of instructor. Introduction to physics and techniques of magnetic resonance imaging (MRI) and their applications to clinical and basic neuroscience. Students learn about the protocols used in the acquisition of images in both structural and functional contexts, and experimental paradigms applied to the exploration of cognition, learning, and development. Students gain experience with creating an experimental design for a study and understanding practical logistics involved in imaging, such as MRI safety and subject screening.

751 Applied Dynamics in Neuroscience (3:3:0) Prerequisites: NEUR 603 or CSI 734 or permission of instructor. Covers recent developments in the application of applied dynamics to neuroscience. Emphasizes dynamical system approach to the understanding of neural processes. Topics include neural synchrony and control; formation of waves; oscillations; patterns within neural ensembles; network topology and dynamics of neurons; and decoding and encoding of neural signals.

752 Modern Instrumentation in Neuroscience (3:3:0) Prerequisite: NEUR 602 or CSI 734 or permission of instructor. Builds on knowledge of how and what things are measured and controlled in modern bioinstrumentation. Topics include fundamental instru--menta--tion; principles of sensing; basic electronics; computer interfaces and data acquisition; signals in biological systems; biopotential and ionic concentration measurements; and optical techniques.

851 Advanced Computation and Brain Dynamics (3:3:0) Prerequisites: NEUR 603 or CSI 734 or permission of instructor. In-depth study of open issues and the state-of-the-art in advanced brain dynamics. Using mathematical and physical models, the course covers the neuro-dynamical aspects of neural nets, receptive fields, ion-channels, intercortical interactions, phase-locking, synchronicity, and the possible nontrivial role of quantum effects. It will emphasize the latest experimental approaches developed by Llinas and Crick.

998 Dissertation Proposal (1-12:0:0) Prerequisite: permission of advisor. Covers development of a research proposal under guidance of dissertation director and doctoral committee. Proposal forms the basis for the doctoral dissertation. Course may be repeated as needed; however, no more than a total of 24 credits in NEUR 998 and 999 may be applied toward satisfying doctoral degree requirements. Out of the 24, no more than 12 credits of NEUR 998 may be applied.

999 Doctoral Dissertation (1-12:0:0) Prerequisite: admission to candidacy in the neuroscience doctoral program. Doctoral research performed under the direction of the dissertation director. May be repeated as needed; however, no more than a total of 24 credits in NEUR 998 and 999 may be applied toward satisfying doctoral degree requirements.