The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
Abstract: Electroencephalography (EEG) can non-invasively measure neuronal events and reflect brain activity at different locations on the scalp. Early studies for EEG signal processing have focused ...
Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...
Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...
Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...
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Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...
Abstract: This paper presents an innovative method for indoor people counting using Spiking Neural Networks (SNNs) exclusively with radar data, effectively addressing privacy concerns associated with ...