JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    •   OpenBU
    • College of Arts and Sciences
    • Cognitive & Neural Systems
    • CAS/CNS Technical Reports
    • View Item
    •   OpenBU
    • College of Arts and Sciences
    • Cognitive & Neural Systems
    • CAS/CNS Technical Reports
    • View Item

    TEMCOR: An Associative, Spatio-Temporal Pattern Memory for Complex State Sequences

    Thumbnail
    Download/View
    95.011.pdf (485.6Kb)
    Date Issued
    1995-04
    Author
    Rinkus, Gerard J.
    Share to FacebookShare to TwitterShare by Email
    Export Citation
    Download to BibTex
    Download to EndNote/RefMan (RIS)
    Metadata
    Show full item record
    Permanent Link
    https://hdl.handle.net/2144/2188
    Abstract
    The problem of representing large sets of complex state sequences (CSSs)-i.e. sequences in which states can recur multiple times--has thus far resisted solution. This paper describes a novel neural network model, TEMECOR, which has very large capacity for storing CSSs. Furthermore, in contrast to the various back- propagation-based attempts at solving the CSS problem, TEMECOR requires only a single presentation of each sequence. TEMECOR's power derives from a) its use of a combinatorial, distributed representation scheme, and b) its method of choosing internal representations of states at random. Simulation results are presented which show that the number of spatio-temporal binary feature patterns which can be stored to some criterion accuracy (e.g. 97%) increases faster-than-linearly in the size of the network. This is true for both uncorrelated and correlated patttern sets, although the rate is slightly slower for correlated patterns.
    Rights
    Copyright 1995 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.
    Collections
    • CAS/CNS Technical Reports [485]

    Contact Us | Send Feedback | Help
     

     

    Browse

    All of OpenBUCommunities & CollectionsIssue DateAuthorsTitlesSubjectsThis CollectionIssue DateAuthorsTitlesSubjects

    Deposit Materials

    LoginNon-BU Registration

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Contact Us | Send Feedback | Help