1 - 10 of 14 results for: NENS

Preference to freshmen. Cell structures and functions, the intracellular trafficking system that maintains exchanges of materials and information inside cells, and clinical features and pathologies of neurodegenerative diseases. Techniques for examining cellular and subcellular structures, especially cytoskeletons; functional insights generated from structural explorations. Prerequisite: high school biology.

Students undertake research sponsored by an individual faculty member. Prerequisite: consent of instructor.

Case demonstrations of selected disorders, discussion of the pathophysiological basis of the disorder, presentation of the basic principles underlying modern diagnostic and therapeutic management, and a discussion of recent research advances for each disease entity. Prerequisite: Neurobiology 206 or consent of instructor.

Exploration of aspects of neurology, including subspecialties. Current issues, clinical cases, and opportunities in the field.

Computational approaches to neuroscience applied at levels ranging from neurons to networks. Addresses two central questions of neural computation : 1) How do neurons compute? and 2) How do networks of neurons encode/decode and store information? Focus on biophysical (Hodgkin-Huxley) models of neurons and circuits, with emphasis on application of commonly available modeling tools (NEURON, MATLAB) to issues of neuronal and network excitability. Addresses issues relevant to neural encoding & decoding, information theory, plasticity and learning. Lectures introduce fundamental concepts of neuronal computation; discussion groups focus on relevant literature examples of proper application of these techniques. Final project. Recommended for Neuroscience Program graduate students; open to graduate, medical, and advanced undergraduate students (with consent of instructor). Prerequisite: Neurobiology 206 and facility with linear algebra and calculus recommended.

Prerequisite: consent of instructor.