Artificial neural networks having competitive reward modulated spike time dependent plasticity and methods of training the same

A method of training an artificial neural network having a series of layers and at least one weight matrix encoding connection weights between neurons in successive layers. The method includes receiving, at an input layer of the series of layers, at least one input, generating, at an output layer of...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Stepp, Nigel D, Scorcioni, Ruggero, Skorheim, Steven W
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROLLING COUNTING PHYSICS REGULATING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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