NEU 330
Computational Modeling of Psychological Function
A fundamental goal of cognitive neuroscience is to understand how psychological functions such as attention, memory, language, and decision making arise from computations performed by assemblies of neurons in the brain. This course will provide an introduction to the use of connectionist models (also known as neural network or parallel distributed processing models) as a tool for exploring how psychological functions are implemented in the brain, and how they go awry in patients with brain damage. Prerequisite: instructor's permission. Two 90-minute lectures, one laboratory.
Prerequisites & course information
instructor's permission. Two 90-minute lectures, one laboratory.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Computational Modeling of Psychological Function · Undergraduate catalogue