Structured information in sparse-code metric neural networks

David Domínguez; Mario González; Francisco B. Rodrı́guez; Eduardo Serrano; R. Erichsen; W. K. Theumann

doi:10.1016/j.physa.2011.09.002

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Structured information in sparse-code metric neural networks

David Domínguez Mario González Francisco B. Rodrı́guez Eduardo Serrano R. Erichsen W. K. Theumann

Year: 2011 Journal: Physica A Statistical Mechanics and its Applications Vol: 391 (3)Pages: 799-808 Publisher: Elsevier BV

DOI: 10.1016/j.physa.2011.09.002

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Keywords:

Randomness Block (permutation group theory) Metric (unit) Code (set theory) Computer science Artificial neural network Topology (electrical circuits) Algorithm Limit (mathematics) Encoding (memory) Theoretical computer science Network topology Stability (learning theory) Artificial intelligence Mathematics Machine learning Geometry Set (abstract data type)

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Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Structured information in sparse-code metric neural networks

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