Exploring sparsity of firing activities and clock gating for energy-efficient recurrent spiking neural processors.
Yu LiuYingyezhe JinPeng LiPublished in: ISLPED (2017)
Keyphrases
- energy efficient
- spiking neural networks
- hodgkin huxley
- single neuron
- feed forward
- wireless sensor networks
- spike trains
- energy consumption
- sensor networks
- biologically plausible
- biologically inspired
- neuron model
- spiking neurons
- learning rules
- energy efficiency
- power reduction
- power consumption
- human activities
- parallel processing
- parallel algorithm
- network architecture
- multi hop
- energy saving
- activity recognition
- sensor nodes
- base station
- routing algorithm
- routing protocol
- end to end
- mac protocol
- shared memory
- recurrent neural networks