Neuroscience

  • CAS CN 510: Principles and Methods of Cognitive and Neural Modeling I
    Undergraduate Prerequisites: CASMA226 (or equivalent; can be taken in parallel); and CASCS108 or CASCS111 or ENGEK127 (or equivalent); and CASNE101 (or equivalent; can be taken in parallel); or consent of instructor.
    Explores psychological, biological, mathematical, and computational foundations of behavioral and brain modeling. Topics include organizational principles, mechanisms, local circuits, network architectures, cooperative and competitive non-linear feedback systems, associative learning systems, and self-organizing code-compression systems. The adaptive resonance theory model unifies many course themes. CAS CN 510 and 520 may be taken concurrently.
  • CAS CN 530: Neural and Computational Models of Vision
    Undergraduate Prerequisites: CAS CN 510; or consent of instructor.
    Graduate Prerequisites: CAS CN 510; or consent of instructor.
    Current models of mammalian visual processes are constrained by experimental and theoretical results from psychology, physiology, computer science, and mathematics. The course evaluates the explanatory adequacy of competing neural and computational models of such processes as edge detection, textural grouping, shape-from-shading, stereopsis, motion detection, and color perception. Students perform computer simulations of some of the examined models.
  • GRS NE 500: Frontiers of Neuroscience
    Undergraduate Prerequisites: enrollment in the GPN, PIN, Neurobiology, or PBN Programs; or with the consent of the GPN Course Director.
    Journal club/seminar series reviewing and discussing key papers including those of GPN seminar series distinguished lecturers. Students are required to attend this seminar series throughout their graduate career, but only a total of 4 credits counts toward the degree.
  • GRS NE 501: Frontiers of Neuroscience
    Undergraduate Prerequisites: enrollment in the GPN, PIN, Neurobiology, or PBN Programs; or with the consent of the GPN Course Director.
    Journal club/seminar series reviewing and discussing key papers including those of GPN seminar series distinguished lecturers. Students are required to attend this seminar series throughout their graduate career, but only a total of 4 credits counts toward the degree.
  • GRS NE 741: Neural Systems: Functional Circuit Analysis
    Graduate Prerequisites: GRS BI 755 or GMS AN 810 or GMS NE 700; or consent of instructor.
    An in-depth survey of powerful new approaches for understanding nervous system function, linking neural activity to behavior. Topics include anatomical connectivity, behavioral methods, and both recording and manipulating the activity of neural populations. Also offered as GRS BI 741.
  • GRS NE 742: Neural Systems: Cognition and Behavior
    Graduate Prerequisites: graduate standing in Neuroscience, or Brain, Behavior, and Cognition,or Neurobiology; or consent of instructor.
    Surveys current neuroscience research. The goal is to develop an understanding of nervous system function in animals and humans, linking cellular and systems level neural circuitry to cognition and behavior.
  • GRS NE 800: Methods in Neuroscience
    Research experiences directed by GPN faculty for first-year graduate students. Mentors who have funded research projects provide students with a large number of potential laboratories from which to choose where they will conduct their thesis research.
  • GRS NE 801: Methods in Neuroscience
    Research experiences directed by GPN faculty for first-year graduate students. Mentors who have funded research projects provide students with a large number of potential laboratories from which to choose where they will conduct their thesis research.
  • GRS NE 901: Directed Study in Neuroscience
    Undergraduate Prerequisites: consent of instructor.
    For doctoral students in the Program in Neuroscience. Dissertation research under the guidance of a Neuroscience faculty member.
  • GRS NE 902: Directed Study in Neuroscience
    Undergraduate Prerequisites: consent of instructor.
    For doctoral students in the Program in Neuroscience. Dissertation research under the guidance of a Neuroscience faculty member.