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Found 3 papers, 1 papers with code
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
This work presents the temporal conditioning spiking latent variable models (TeCoS-LVM) to simulate the neural response to natural visual stimuli.
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
Despite extensive research on spiking neural networks (SNNs), most studies are established on deterministic models, overlooking the inherent non-deterministic, noisy nature of neural computations.
Successive POI Recommendation via Brain-inspired Spatiotemporal Aware Representation
POI vector representation (embedding) is the core of successive POI recommendation.
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