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NSUR 70Q: Experimental Stroke

Preference to sophomores. How stroke is studied in the laboratory; advances in stroke research over the last two decades; and future directions. Topics include: cellular and molecular mechanisms of neuronal death and survival in the brain after stroke, including necrosis, apoptosis, inflammation, and cell signaling pathways; experimental tools for stroke treatment, such as gene therapy, cell therapy, hypothermia, preconditioning, postconditioning, and other pharmacological treatments; the gap and barrier between laboratory research and clinical translation.
Terms: Win | Units: 2
Instructors: ; Zhao, H. (PI)

NSUR 200: Narratives in Neurosurgery

Introduces medical, non-medical graduate and undergraduate students to careers in neurosurgery. Focuses on a progressive walk through the educational milestones of a neurosurgical career, starting with perspectives of 4th year medical students and working up to day-to-day functions and lifestyles of senior neurosurgical faculty. Additional topics covered include: global health neurosurgery, private practice neurosurgery, and academic neurosurgery.
Terms: Aut, Spr | Units: 1
Instructors: ; Grant, G. (PI)

NSUR 261: Principles and Practice of Stem Cell Engineering

Quantitative models used to characterize incorporation of new cells into existing tissues emphasizing pluripotent cells such as embryonic and neural stem cells. Molecular methods to control stem cell decisions to self-renew, differentiate, die, or become quiescent. Practical, industrial, and ethical aspects of stem cell technology application. Final projects: team-reviewed grants and business proposals.
Last offered: Autumn 2008 | Units: 3

NSUR 287: Brain Machine Interfaces: Science, Technology, and Application (PSYCH 287)

Lectures, student presentations, and extensive software exercises. Focus on quantifiable models of neural signaling, starting with physical specification of input signals, sensory transductions, spiking, and mean electrical field potentials, and the inter-relation to BOLD signals (fMRI). Also, interactions between electronic devices and the brain (brain-machine interactions) Applications will be drawn from many examples, but a there will be a particular focus on the visual pathways and how measurements and models relate to visual perception.
Terms: Spr | Units: 1-3
Instructors: ; Wandell, B. (PI)
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