Search Results for author:
Found 3 papers, 0 papers with code
An Adaptive Contrastive Learning Model for Spike Sorting
But for BCIs used in neuroscience research, it is important to separate out the activity of individual neurons.
An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
This review introduces the following sections, the biological background of spiking neurons and the theoretical basis, different neuronal models, the connectivity of neural circuits, the mainstream neural network learning mechanisms and network architectures, etc.
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
However, obtaining sufficient training data is difficult as well as limited.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
