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We study a spiking neural network consisting of a small number of LIF neurons, capable of recognizing horizontal and vertical patterns in a 3*3 pixel image. Neural learning is carried out using the ...
This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...
In this paper, we propose a new end-to-end deep neural network model for time-series classification (TSC) with emphasis on both the accuracy and the interpretation. The proposed model contains a ...
In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...
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