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Saltzman et al., 2006 - Google Patents

The distinctions between state, parameter and graph dynamics in sensorimotor control and coordination

Saltzman et al., 2006

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Document ID
641250109944153747
Author
Saltzman E
Nam H
Goldstein L
Byrd D
Publication year
Publication venue
Motor control and learning

External Links

Snippet

The dynamical systems underlying the performance and learning of skilled behaviors can be analyzed in terms of state-, parameter-, and graph-dynamics. We review these concepts and then focus on the manner in which variation in dynamical graph structure can be used to …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling

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