Enabling Non-Hebbian Learning in Recurrent Spiking Neural Processors With Hardware-Friendly On-Chip Intrinsic Plasticity.
Yu LiuWenrui ZhangPeng LiPublished in: IEEE J. Emerg. Sel. Topics Circuits Syst. (2019)
Keyphrases
- hebbian learning
- spiking neural networks
- signal processor
- processor core
- multithreading
- biologically inspired
- low cost
- single chip
- memory subsystem
- vlsi implementation
- feed forward
- recurrent neural networks
- spiking neurons
- learning rules
- high end
- low power
- biologically plausible
- ibm zenterprise
- artificial neural networks
- neural network
- memory access
- parallel computing
- neuron model
- ibm power processor
- real time
- instruction set
- processing elements
- motor control
- hidden layer
- back propagation
- training algorithm
- transactional memory
- parallel processing
- biological systems
- synaptic weights
- data mining
- hardware implementation