Computational Modeling of the Brain
Prerequisites: PSYC 383/COMP 386 or instructor permission
This course uses a mix of lectures and computer labs to introduce computational models of the neural processing in the brain. These models capture single neurons and synapses, biological neural networks, and high-level computational theory. Each class will cover the models with lectures and computer labs, the latter using MATLAB and Simulink.
Outcomes: Appreciation that brain function cannot be understood without proper mathematical and computational frameworks, and ability to apply these frameworks adeptly in the various domains of neuroscience from neurons to cognition.
This course uses a mix of lectures and computer labs to introduce computational models of the neural processing in the brain. These models capture single neurons and synapses, biological neural networks, and high-level computational theory. Each class will cover the models with lectures and computer labs, the latter using MATLAB and Simulink.
Outcomes: Appreciation that brain function cannot be understood without proper mathematical and computational frameworks, and ability to apply these frameworks adeptly in the various domains of neuroscience from neurons to cognition.