This is also the case in parallel distributed processing ( PDP ).
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Neural nets are a form of parallel distributed processing.
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In the mid-1980s, parallel distributed processing became popular under the name connectionism.
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The prevailing connectionist approach today was originally known as "'parallel distributed processing "'( PDP ).
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With mounting biological data supporting this hypothesis with some modification, the fields of neural networks and parallel distributed processing were established.
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The connectionist model evolved out of Parallel Distributed Processing framework that formulates a metatheory from which specific models can be generated for specific applications.
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This criticism is only valid for certain types of computational architectures, and one of Farah s contributions was to develop parallel distributed processing models of neuropsychological impairments.
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The new field was unified and inspired by the appearance of " Parallel Distributed Processing " in 1986 a two volume collection of papers edited by James McClelland.
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In 1986 McClelland published " Parallel Distributed Processing : Explorations in the Microstructure of Cognition " with David Rumelhart, which some still regard as a bible for cognitive scientists.
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He is best known for his work on statistical learning and Parallel Distributed Processing, applying connectionist models ( or neural networks ) to explain cognitive phenomena such as spoken word recognition and visual word recognition.
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