BIONB 3300 - [Introduction to Computational Neuroscience]

(crosslisted) BME 3300, COGST 3300, PSYCH 3300
(PBS-AS, BIO-AS, SDS-AS)

Fall (offered in even-numbered years only). Not offered: 2020-2021. Next offered: 2022-2023. 3-4 credits, variable. Student option grading.

Prerequisite: BIONB 2220 or permission of instructor. Four credit option includes lab providing additional computer simulation exercises.

C. Linster.

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.

Outcome 1: Basic understanding of current theories of brain function.

Outcome 2: How to construct representations from tuning curves.

Outcome 3: Plasticity and how it relates to memory.

Outcome 4: Models of human memory.