Neural Networks
Biological information processing; architectures and algorithms for supervised learning, self-organization, reinforcement learning, and neuro-evolution; theoretical analysis; hardware implementations and simulators; applications in engineering, artificial intelligence, and cognitive science. Only one of the following may be counted: Computer Science 394N, Neuroscience 394N, 394P (Topic: Neural Networks). Three lecture hours a week for one semester.
Prerequisites & course information
Biological information processing; architectures and algorithms for supervised learning, self-organization, reinforcement learning, and neuro-evolution; theoretical analysis; hardware implementations and simulators; applications in engineering, artificial intelligence, and cognitive science. Only one of the following may be counted: Computer Science 394N, Neuroscience 394N, 394P (Topic: Neural Networks). Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027