OSCILLATORY NEURAL NETWORKS

Objectives

• Primary objective is to propose generalized oscillatory neural network model capable of function approximation, classification, predictive modelling and designing controllers.
• Propose a model for primate auditory cortex depicting tonotopic map architecture.
• As this kind of network is capable of Fourier decomposing any time series signal, exploring the scope of other signal processing capabilities like filtering.
• Modelling an oscillatory feed forward neural network to design the controller for gaiting rhythm generation as the muscle activation measured in terms of EMG signal is nearly periodic in nature during gait.
• Experimentally recorded time series signals like EEG/ EMG/ fMRI signal classification.