A spiking neural network with offline-learned, frozen convolution kernels classifies five street-object classes at 91.6% accuracy, compared with 92.3% for a similarly shaped CNN.
A new spiking convolutional recurrent neural network (SCRNN) with applications to event-based hand gesture recognition ,
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Convolutional Spiking Neural Network for Image Classification
A spiking neural network with offline-learned, frozen convolution kernels classifies five street-object classes at 91.6% accuracy, compared with 92.3% for a similarly shaped CNN.