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14. Rate Models and Perceptrons

Introduces tractable network models through rate descriptions, receptive fields, vector algebra and perceptrons.

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MIT OpenCourseWare Michale Fee advanced 1 hr 15 min

Why it is here

A bridge between single-neuron descriptions and mathematical networks that transform inputs into responses.

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Editorial judgement from the inspected description: this continuation uses mathematical neural models, linear algebra or Fourier methods and assumes earlier course material. It is not an official difficulty rating.
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