PSYC 341 Chapter Notes - Chapter 2: Artificial Neural Network, Connectionism, Isomorphism
Document Summary
Mental representations: an internal symbol or a mental process that reflects external reality: gallisiel"s isomorphism. Modularity and domain specificity: how separable a system"s components are and the degree to which parts of a system interact: rooted in phrenology (gall, fodor"s modularity of mind. Encapsulation: domain general v domain specific. Convergent evidence: different types of results that imply the same conclusion: what we want to know. Study cognition: computational modeling (least invasive, behavioral, physical responses, neuroimaging, causal neural methods, neuropsychology (most) Computational models: stimulated measurements of mental processes that aim to test mechanisms and principles to explain data: artificial neural networks (anns, biologically inspired; artificial neurons. Input, output, hidden layers: connectionism (parallel distributed processing, process models. Sequence of processes thought to account for data patterns. Behavioral methods: directly observed or self-reported measurements of behavior: objective measures. Response time: time to react, subtle, unconscious processing. But, speed-accuracy trade offs and task demand effects: subjective measures. Protocol collection: sequential walk through of processing.