Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier.
Kyung Hwan KimSung June KimPublished in: IEEE Trans. Biomed. Eng. (2000)
Keyphrases
- signal to noise ratio
- artificial neural networks
- neural network
- neural model
- backpropagation neural network
- multi layer perceptron
- noise reduction
- spike trains
- spiking neurons
- learning rules
- network architecture
- recurrent neural networks
- gaussian noise
- synaptic weights
- edge detection
- energy consumption
- feed forward
- back propagation
- support vector machine
- wiener filter
- speech enhancement
- matched filter
- neural network model
- received signal
- computer vision
- spatial filtering
- biologically plausible
- image processing
- minimum mean square error
- hidden markov models
- root mean square error
- genetic algorithm