Lecture 12 Angela Yu

Lecture 12 Angela Yu - Computational cognitive science:...

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Computational cognitive science: concretization of hypothesis/theory into mathematics and/or programming logic Computational cogs sci: Machine learning, briwn simulation, artificial int, neural prosthetics 1.) Computational cogs a. Machine learning: teach a computer to take info and assess b. Brain simulation: get machines to do what humans do; not just set set parameters, but create a brain to recognize faces c. Artificial int: logic operations d. Neural prosthetics: create Robocop. Ex: quadriplegic, motor cortex is still functioning, you just need to feed signals into a robotic device. e. Hypothesis operation : give ideas of how things work. Go out and figure out 2.) Reinforcement learning: rewarding good behavior. Do something to get prize transforming perception action. Main job of brain. a. Principle: reward or punishment. You will learn not to repeat actions that lead to punishment i. The Distal reward problem: Y maze. Put a rat at bottom. Goes to fork in the road. 1 st time it’s random. Everytime he does left, nothing happens,
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Lecture 12 Angela Yu - Computational cognitive science:...

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