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Found 5 papers, 1 papers with code
Precise spiking motifs in neurobiological and neuromorphic data
Why do neurons communicate through spikes?
GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields
In this paper, we introduce a novel approach, termed GHNeRF, designed to address these limitations by learning 2D/3D joint locations of human subjects with NeRF representation.
HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields
In recent advancements in novel view synthesis, generalizable Neural Radiance Fields (NeRF) based methods applied to human subjects have shown remarkable results in generating novel views from few images.
Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification
In that respect, they produce punctual events in time that can be construed as neural spikes and interpreted as such by a neural network.
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