Neuroscience

• GMS NE 570: Introduction to Computational Vision (Meets with ENG BE 570)
  Introductory course in biological visual neuroscience and computational vision. Provides a survey of the psychophysical, neuroanatomical and neurophysiological substrates of visual mechanisms underlying perception of visual motion, depth, objects, and space and of decision making mechanisms. Discussion of theoretical, explanatory, paradigms for these visual mechanisms. Topics addressed include psychophysics, methods from single cell recording physiology and low field potentials (LFP), multimodal imaging and computational modeling of various visual tasks and their modulation by attention. We will briefly address learning mechanisms and their relationship to brain plasticity. A term project is required for graduate credit. 4 cr.
• GMS NE 700: Principles of Neurobiology 1
  Advanced survey course in neurobiology. Topics covered include cell biology of the neuron, neurophysiology, neuropharmacology, cell signaling, anatomical methods, development of the nervous system, and human neuroanatomy. Three hours lecture, one hour discussion. Taught with GRS BI 755 and GMS AN 810.
• GMS NE 701: Principles of Neurobiology 2
  This course provides students with an understanding and experience in the fundamental methods and techniques commonly employed in the clinical biomedical sciences.  Emphasis is placed on the client/patient relationship, attending and listening skills, cognitive, affective, and behavioral counseling interventions, role-playing activities, and the concerns commonly expressed by beginning biomedical science professionals.
• GMS NE 710: Neural Plasticity and Perceptual Learning (meets with ENG BE 710)
  This course explores the capacity of cortical sensory and motor maps in the adult brain to change as a result of alterations in the effectiveness of the input, direct damage, or practice. The lectures will describe and discuss (1) the physiology and anatomy underlying adult dynamics; (2) psychophysical methods and experimental paradigms that have been used to study cortical plasticity in the early stages of the sensory and motor pathways; (3) evidence for perceptual learning; and (4) biologically plausible computational models of learning. We will discuss application of functional neuroimaging to study perceptual learning and restorative plasticity in the human brain. a semester-long project is required. There will be 3 hours lecture/week and 1 hour of discussion of relevant papers and progress on the semester-long project.