Spikinghash combines 3D-DWT Spiking WaveMixer, Spiking Self-Attention, and a dynamic soft similarity loss to produce energy-efficient hash codes for DVS data retrieval.
Networks of spiking neurons: the third generation of neural network models
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A Tensor Train decomposition-based method enables efficient gradient-free activation maximization for neurons in spiking neural networks by searching generative model latent spaces.
A spatio-temporal cluster-triggered encoding for SNNs reaches 98.17% accuracy on N-MNIST with fewer spikes than TTFS by preserving semantic structure in both space and time.
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Fast gradient-free activation maximization for neurons in spiking neural networks
A Tensor Train decomposition-based method enables efficient gradient-free activation maximization for neurons in spiking neural networks by searching generative model latent spaces.