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This module provides an introduction to the goals and methods of computational modelling in the context of cognitive neuroscience, covering the architecture, function, and properties of a number of basic prototypical classes of neural network. It also looks at how these basic neural networks provide building blocks for larger-scale models of brain function. Lectures will be supplemented by practical sessions providing hands-on experience of computational modelling.

Assessment is based on the submission of a written assignment and a practical portfolio.