STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing.
Gopalakrishnan SrinivasanPriyadarshini PandaKaushik RoyPublished in: ACM J. Emerg. Technol. Comput. Syst. (2018)
Keyphrases
- energy efficient
- unsupervised feature learning
- spiking neural networks
- wireless sensor networks
- energy consumption
- deep learning
- sensor networks
- energy efficiency
- higher order
- biologically inspired
- base station
- sensor nodes
- data transmission
- routing protocol
- image processing
- support vector
- data center
- real time
- data analysis
- feature extraction
- biologically plausible
- spiking neurons
- machine learning