Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression.
Souvik KunduGourav DattaMassoud PedramPeter A. BeerelPublished in: WACV (2021)
Keyphrases
- energy efficient
- spiking neural networks
- spiking neurons
- biologically inspired
- wireless sensor networks
- neuron model
- energy consumption
- neural models
- learning rules
- feed forward
- sensor networks
- spike trains
- hebbian learning
- biologically plausible
- base station
- neural network
- energy efficiency
- artificial neural networks
- routing protocol
- synaptic weights
- motor control
- radial basis function
- visual attention
- human activities
- sensor nodes
- multi modal
- training algorithm
- cost effective