BCS 153 Study Guide - Midterm Guide: Turing Machine, Machine Translation, Deep Learning
14 Jan 2020
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Attempt to understand the structure of the mind. Radical behaviorism (like skinner): explains behavior by stimulus-response, conditioning, and reinforcement. Gallistel: relies on observable measures, rejects inferred mental processes (memory, attention), opposes structuralism and nativism. Methodological behaviorism: use behavioral measures to infer cognitive processes. Provides a more flexible way to examine data. You write a code to train the computer, computer learns the patterns and can then classify data. Applications: natural language processing . search engines, speech recognition, machine translation, also processing of neuroimaging data. Neural network model: hidden layers between input and output. Possible accounts: coding of information, memory traces, neural network. To materialize how external entities are processed in our mind. Nativism: chomsky"s view on language and mind, universal grammar. Neural plasticity: the ability of the central nervous system to adapt in response to changes in the environment or lesions (this contradicts the concept of universal grammar) Head-turn procedure: babies learn to discriminate two tones.
