UMD CMSC 727 Entire Course

University of Maryland CMSC 727 Neural Modeling Entire Course


Fundamental methods of neural modeling. Surveys historical development and recent research results from both the computational and dynamical systems perspective. Logical neurons, perceptrons, linear adaptive networks, attractor neural networks, competitive activation methods, error back-propagation, self-organizing maps, and related topics. Applications in artificial intelligence, cognitive science, and neuroscience.

Note: This entire course includes discussions, assignments, course projects, and exams.

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