Cognitive & Neural Systems

  • 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.
  • GRS CN 780: Topics in Computational Neuroscience
    Undergraduate Prerequisites: CAS MA 225 and CAS MA 242; or consent of instructor.
    Graduate Prerequisites: CAS MA 225 and CAS MA 242; or consent of instructor.
    In this seminar, recent research papers and applications in computational neuroscience are reviewed. Topics covered include cortical modeling, analog VLSI, active perception, robotic control, stereo vision, and computer-aided neuroanatomy.