Course Description
This course will discuss the biophysics of neuronal computation for both biological and artificial neural networks. It will prepare students of any major to understand the main principles by which our brains work and computers recognize patterns, learn/plan actions, and interact with humans from an interdisciplinary perspective. The course will provide a detailed introduction to the anatomy/physiology of excitable cells, major brain architectures and principles, and the most relevant mathematical models for neural computation from single neurons to circuits. In the spring, students will learn to analyze electrophysiological data. Students will be provided with software to conduct the analysis of data recorded at different FIU sites, analyze data sets, and interpret the results in a 10-page publication.