Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research...

example, in sparse distributed memory (SDM), the patterns encoded by neural networks are used as memory addresses for content-addressable memory, with "neurons"...

storage, or file system Sparse distributed memory Tuple space "K. Pagiamtzis* and A. Sheikholeslami, Content-addressable memory (CAM) circuits and architectures:...

stimuli. Theoretical work on sparse distributed memory has suggested that sparse coding increases the capacity of associative memory by reducing overlap between...

1126/science.1225266. PMID 23197532. S2CID 1673514. Denning, Peter J. "Sparse distributed memory." (1989).Url: https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa...

mathematical model of sparse distributed memory This disambiguation page lists articles associated with the title Genetic memory. If an internal link led...

system. In IDA, these two memories are implemented computationally using a modified version of Kanerva’s sparse distributed memory architecture. Learning...

several modules, including variants of the Copycat Architecture, sparse distributed memory, the schema mechanism, the Behavior Net, and the subsumption architecture...

categorically-organized fashion." Memory semantics Sparse distributed memory Semantic similarity McRae, Ken; Jones, Michael (2013). "Semantic Memory". In Reisberg, Daniel...

and the originator of the sparse distributed memory model. He is responsible for relating the properties of long-term memory to mathematical properties...

the long-term memory effectively acts as a (dynamic) knowledge base and the output is a textual response. In sparse distributed memory or hierarchical...

Mahalanobis distance Mannheim distance Sørensen similarity index Sparse distributed memory Word ladder Waggener, Bill (1995). Pulse Code Modulation Techniques...

technique useful for dimensionality reduction Sparse distributed memory – Mathematical model of memory Visual perception – Ability to interpret the surrounding...

genetic memory refers to an artificial neural network combination of genetic algorithm and the mathematical model of sparse distributed memory. It can...

neuroscience Neural Darwinism Predictive coding Predictive learning Sparse distributed memory Metz, Cade (October 15, 2018). "A new view of how we think". The...

series of evaluations of computational semantic analysis systems Sparse distributed memory Taxonomy (general) Unified Medical Language System (UMLS) Word-sense...

reduction Sparse distributed memory – Mathematical model of memory Khan, J. I. (1998). "Characteristics of multidimensional holographic associative memory in...

drafts model of consciousness Neural correlates of consciousness Sparse distributed memory Baars, Bernard. "Syllabus for Consciousness: The Web Course" (PDF)...

software system development method originally written by PANDATA. Sparse distributed memory Space-division multiplexing Brown Field Municipal Airport, San...

Eigenvalues and eigenvectors Inverted index Nearest neighbor search Sparse distributed memory w-shingling Berry, Michael W.; Drmac, Zlatko; Jessup, Elizabeth...

Range search Similarity learning Singular value decomposition Sparse distributed memory Statistical distance Time series Voronoi diagram Wavelet Cayton...

Singular value decomposition – Matrix decomposition Sparse distributed memory – Mathematical model of memory Wavelet compression – Mathematical technique used...

quantization Liquid state machine Neocognitron Neural gas Sparse coding Sparse distributed memory Topological data analysis Kohonen, Teuvo (January 2013)...

representation of language, originates from the work of Pentti Kanerva on sparse distributed memory, and can be described as an incremental formulation of a random...

scalability. In the following, shared and distributed memory architectures are considered. In the case of a shared memory model, the graph representations used...

(ISBN 1-55953-280-7) Alan Turing: The Enigma by Andrew Hodges, 1983. (Preface) Sparse Distributed Memory by Pentti Kanerva, Bradford Books/MIT Press, 1988. (Foreword)...

implementation. Elemental Elemental is an open source software for distributed-memory dense and sparse-direct linear algebra and optimization. HASEM is a C++ template...

forgetting, testing effect, metacognition, generation effect, sparse-distributed memory, false balance, disinformation attack, and fast mapping. Through...

neuroscience, wherein the size, sparseness, and organization of the hippocampal neural code are debated." In a more recent study, memory champions during resting...

blocks in main memory at a particular time. Hence most of the entries in the directory will belong to uncached blocks. In the sparse directory format...