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This course will serve as an introduction to theoretical and mathematical neuroscience, with an emphasis on neural networks and neural codes.
Topics will include: the basics of neurobiology; neural networks (perceptrons, the Hopfield model, threshold-linear networks, bump attractor networks); neural codes (examples from cortex and hippocampus, combinatorial codes); synaptic plasticity and memory; and selected topics.

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