An Oscillatory Neural Network with Programmable Resistive Synapses in 28 Nm CMOS.
Thomas C. JacksonSamuel PagliariniLawrence T. PileggiPublished in: ICRC (2018)
Keyphrases
- neural network
- low cost
- recurrent neural networks
- synaptic weights
- floating gate
- network model
- cmos technology
- single chip
- hebbian learning
- associative memory
- artificial neural networks
- back propagation
- nm technology
- silicon on insulator
- metal oxide semiconductor
- low power
- neural network model
- power consumption
- high speed
- general purpose
- neural nets
- self organizing maps
- delay insensitive
- spiking neural networks
- real time
- pattern recognition
- neural network is trained
- spiking neurons
- learning vector quantization
- multi layer
- bp neural network
- fault diagnosis
- power supply
- circuit design
- neural models
- neural model
- multi layer perceptron
- training algorithm
- analog vlsi
- fuzzy logic
- learning algorithm
- genetic algorithm
- feed forward