BME 3300
Introduction to Computational Neuroscience
Covers the basic ideas and techniques involved in computational neuroscience. Surveys diverse topics, including neural dynamics of small networks of cells, neural coding, learning in neural networks and in brain structures, memory models of the hippocampus, sensory coding, and others.
Topics
- Upon completion of this course you will be able to create models of neural circuits to complete simple tasks such as learning to be fearful of an object.
- Upon completion of this course you be able to synthesize information from complex computational neuroscience publications.
- Upon completion of this course you will be able to use linear algebra and differential equations to describe neural brain function.
- Upon completion of this course you will be able to create links between neural computation and human brain function.
Official roster learning outcomes
Prerequisites & course information
BIONB 2220 or permission of instructor.
Sources
- Course catalogue ↗2026-2027