Low-energy robust neuromorphic computation using synaptic devices

Keyphrases

• Low Energy 100%
• Associative Learning 100%
• Neuromorphic Computing 100%
• Sensory Data 100%
• Synaptic Device 100%
• Device Operation 50%
• Energy Consumption 50%
• Real-time Processing 50%
• Ultra-low Power 50%
• Programming Strategies 50%
• Hippocampus 50%
• Computational System 50%
• Crossbar Array 50%
• Synaptic Plasticity 50%
• Device Resistance 50%
• Material Characteristics 50%
• Phase Change Material 50%
• Computational Scheme 50%
• Input Noise 50%
• Sensory Devices 50%
• Noise Variation 50%
• Resistance Variation 50%
• Operation Regimes 50%
• Massively Parallel Architectures 50%
• Sequence Learning 50%
• Pattern Completion 50%
• Symmetric Synapses 50%
• Asymmetric Synapse 50%
• Brain-inspired Computing 50%
• Symmetric Sequence 50%

Material Science

• Phase Change Material 100%