Oscillatory neural networks based on TMO nano-oscillators and multi-level RRAM cells

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Volumn 5, Issue 2, 2015, Pages 230-241

  Jackson, Thomas C ^a   Sharma, Abhishek A ^a   Bain, James A ^a   Weldon, Jeffrey A ^a   Pileggi, Lawrence ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Metal oxide resistive memory; neuromorphic computing; oscillatory neural networks; RRAM based nano oscillators

Indexed keywords

CIRCUIT OSCILLATIONS; CMOS INTEGRATED CIRCUITS; COMPUTATION THEORY; COMPUTER ARCHITECTURE; HARDWARE; LOCKS (FASTENERS); METALLIC COMPOUNDS; METALS; NEURAL NETWORKS; OSCILLISTORS; PATTERN RECOGNITION; RANDOM ACCESS STORAGE; VARIABLE FREQUENCY OSCILLATORS;

COMPUTING ARCHITECTURE; EFFICIENT IMPLEMENTATION; HARDWARE IMPLEMENTATIONS; NANO-OSCILLATOR; NEUROMORPHIC COMPUTING; OSCILLATORY NEURAL NETWORKS; PROGRAMMABLE RESISTORS; RESISTIVE MEMORY;

NETWORK ARCHITECTURE;

EID: 85027920237     PISSN: 21563357     EISSN: None     Source Type: Journal    
DOI: 10.1109/JETCAS.2015.2433551     Document Type: Article

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