A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network.
Na GuoRong XiaoShaobing GaoHuajin TangPublished in: CIS/RAM (2017)
Keyphrases
- spiking neurons
- pattern recognition
- spiking neural networks
- biologically inspired
- neuron model
- neural network
- cerebellar model
- image processing
- machine learning
- signal processing
- feed forward
- liquid state machine
- support vector machine svm
- biologically plausible
- feature extraction
- computer vision
- motor control
- artificial neural networks
- multi modal
- training algorithm
- learning scheme
- hebbian learning
- support vector