Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit

The General Associative Memory Model (GAMM) has a constant state-dependant energy surface that leads the output dynamics to fixed points, retrieving single memories from a collection of memories that can be asynchronously preloaded. We introduce a new class of General Sequential Episodic Memory Mode...

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Hauptverfasser:	Karuvally, Arjun, Sejnowski, Terry J, Siegelmann, Hava T
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Neural and Evolutionary Computing
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