Search Results for author:
Found 4 papers, 1 papers with code
Programming molecular systems to emulate a learning spiking neuron
Hebbian theory seeks to explain how the neurons in the brain adapt to stimuli, to enable learning.
A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning
We propose a fully autonomous, thermodynamically consistent set of chemical reactions that implements a spiking neuron.
Minimal spiking neuron for solving multi-label classification tasks
The Multi-Spike Tempotron (MST) is a powerful single spiking neuron model that can solve complex supervised classification tasks.
Multi$^{\mathbf{3}}$Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
We propose a novel approach for rapid segmentation of flooded buildings by fusing multiresolution, multisensor, and multitemporal satellite imagery in a convolutional neural network.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
