A scalable and reconfigurable in-memory architecture for ternary deep spiking neural network with ReRAM based neurons.
Jie LinJiann-Shiun YuanPublished in: Neurocomputing (2020)
Keyphrases
- spiking neural networks
- liquid state machine
- biologically inspired
- neuron model
- spiking neurons
- associative memory
- hardware implementation
- learning rules
- processing elements
- neural network
- feed forward
- artificial neural networks
- motor control
- network architecture
- biologically plausible
- hebbian learning
- cerebellar model
- learning mechanisms
- visual cortex
- receptive fields
- training algorithm
- natural images