Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Pulsed neural networks
Computing with spiking neurons
Pulsed neural networks
Populations of spiking neurons
Pulsed neural networks
Collective excitation phenomena and their applications
Pulsed neural networks
The handbook of brain theory and neural networks
Image Processing Using Pulse-Coupled Neural Networks
Image Processing Using Pulse-Coupled Neural Networks
Stable propagation of activity pulses in populations of spiking neurons
Neural Computation
Learning Overcomplete Representations
Neural Computation
Sparse spectrotemporal coding of sounds
EURASIP Journal on Applied Signal Processing
A quantitative analysis of SNR in the short-time Fourier transformdomain for multicomponent signals
IEEE Transactions on Signal Processing
IEEE Transactions on Neural Networks
Review: Pulse coupled neural networks and its applications
Expert Systems with Applications: An International Journal
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The existence of spectro-temporal receptive fields and evidence forpopulation coding in auditory cortex motivate the development ofsuch models, that explicitly operate in the time-frequencydomain and are based on a pulsed neural network. In presenting such amodel, a formal connection of the fields of Time Frequency Analysisand Pulsed Neural Networks is established. Theresulting neural time-frequency signal representation is shown to berepresentable as a signal-dependent overcompletedictionary. It is derived from neural population coding. Signaldecomposition and filtering effects are presented, indicating obvioustechnical applications of the proposed model.