Wide learning: Using an ensemble of biologically-plausible spiking neural networks for unsupervised parallel classification of spatio-temporal patterns.
Katarzyna KozdonPeter J. BentleyPublished in: SSCI (2017)
Keyphrases
- exploratory analysis
- spatio temporal patterns
- biologically plausible
- spiking neural networks
- biologically inspired
- supervised learning
- feed forward
- data mining
- learning rules
- motor control
- learning algorithm
- visual cortex
- spiking neurons
- training set
- feature selection
- support vector machine svm
- learning scheme
- neural network
- principal component analysis
- network architecture
- feature space