Category Archives: Chapter 10: Motor Learning

   Consider an algorithm y=A(f,x) which takes in a guess x at the solution to a certain problem fand outputs a (hopefully better) guess y at the solution. Assume that it is easy to compute andcompare the quality Q(x) of … Continue reading →

    I propose a motor control hierarchy which is closely analogous to the perceptual hierarchy, butworks in the opposite direction. In the motor control hierarchy, the lower levels deal directlywith muscle movements, with bodily functions; whereas the higher levels deal … Continue reading →

    In Chapter 6 we used Edelman’s theory of Neural Darwinism to explore the nature of neuralanalogy. However, we did not suggest how the "lower-to-intermediate-level" details discussedthere might fit into a theory of higher-level brain function. It is possible to … Continue reading →

   Twenty years ago, Marr (1969) and Albus (1971) suggested that the circuitry of thecerebellum resembles the learning machine known as the "perceptron." A perceptron learns howto assign an appropriate output to each input by obeying the suggestions of its … Continue reading →