Victor Eliashberg: Revision history

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24 December 2023

  • curprev 15:3615:36, 24 December 2023‎ SatoshiNakamoto talk contribs‎ 1,388 bytes −150‎ No edit summary undo
  • curprev 15:3615:36, 24 December 2023‎ SatoshiNakamoto talk contribs‎ 1,538 bytes +1,538‎ Created page with "Title: Victor Eliashberg Main Research Question: How can "dynamical" neural networks function as universal programmable "symbolic" machines? Methodology: The study uses the concept of E-machine, a hypothetical brain-like dynamically reconfigurable associative learning system. This concept is applied to various applications such as context-sensitive associative memory, context-dependent pattern classification, context-dependent motor control, imitation, simulation of co..."
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