Parallel Distributed Processing Framework

The theoretical framework from Rumelhart, McClelland, and Smolensky (1986) identifying distributed representations in neural networks; theoretical precursor to DAS.

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Papers (1)

paper

Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
introduces

Concepts (1)

concept

Distributed Neural Representations
extends
Representations where individual neurons play multiple conceptual roles; patterns consisting of linear combinations of unit vectors.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Parallel Programmingconcept0.793
Multiscale Polycomputation Frameworkframework0.773
Polycomputing Frameworkframework0.772
Distributed representationconcept0.769
Idea that information is spread across many neurons; superposition is a subtype.
Distributed Abstractionconcept0.762
Key notion where alignment map ϕ maps neurons block-wise to latent variables before constructive abstraction
Parallelismmethod0.760
Attribute: an attempt at dualism and dialogue, running texts alongside each other, but inherently unstable.
distributed cognitionconcept0.752
Cognitive process spread across human and non-human agents; a goal of Pask’s and Friedman’s cybernetic diagrams.
Computational Boundary Frameworkframework0.740