This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
After completing a Master’s degree in biomedical engineering in Japan, Pelonomi Moiloa returned to South Africa to launch ...
Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
Abstract: Neural networks have become increasingly popular in recent years due to their ability to efficiently solve a wide range of complex problems, including computer vision, machine translation, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results