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A continuous model of the dynamical systems capable to memorise multiple shapes

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Publication:718739
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DOI10.1016/j.cnsns.2007.01.005zbMath1221.37169OpenAlexW2083259078MaRDI QIDQ718739

Alexander Yudashkin

Publication date: 24 September 2011

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2007.01.005

zbMATH Keywords

integro-differential equationsnon-linear systems with memoryshape memorising and retrieval


Mathematics Subject Classification ID

Approximation methods and numerical treatment of dynamical systems (37M99)




Cites Work

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  • Synergetic computers and cognition. A top-down approach to neural nets
  • Bifurcations of steady-state solutions in the synergetic neural network and control of pattern recognition
  • A SYNTHESIS OF INVARIANT STRUCTURES WITH MEMORY IN TWO-DIMENSIONAL SPACE
  • Neural networks and physical systems with emergent collective computational abilities.
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