A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier.
Shirin DoraSuresh SundaramN. SundararajanPublished in: IJCNN (2014)
Keyphrases
- learning algorithm
- spiking neural networks
- training data
- biologically inspired
- learning rules
- training samples
- classification algorithm
- back propagation
- cerebellar model
- feed forward
- learning scheme
- machine learning
- active learning
- supervised learning
- feature selection
- reinforcement learning
- class labels
- neuron model
- learning tasks
- feature space
- motor control
- biologically plausible
- liquid state machine
- decision trees
- training algorithm
- generalization error
- artificial neural networks
- classifier ensemble
- ensemble learning
- training set
- neural network
- learning strategies