1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.NE2020★ 1 cited
A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning
Jakub Fil, Dominique Chu
We propose a fully autonomous, thermodynamically consistent set of chemical reactions that implements a spiking neuron. This chemical neuron is able to learn input patterns in a He…
cs.NE2020
Minimal spiking neuron for solving multi-label classification tasks
Jakub Fil, Dominique Chu
The Multi-Spike Tempotron (MST) is a powerful single spiking neuron model that can solve complex supervised classification tasks. While powerful, it is also internally complex, com…
cs.CV2018
MultiNet: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
Tim G. J. Rudner, Marc Rußwurm, Jakub Fil +4
We propose a novel approach for rapid segmentation of flooded buildings by fusing multiresolution, multisensor, and multitemporal satellite imagery in a convolutional neural networ…