Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Neural DSP is best known for its guitar and bass processing tech, but last month it expanded into vocals production with the launch of Mantra. It’s a single plugin to handle… well, everything: ...

Neural DSP has announced a dramatic expansion of the Nano Cortex’s features and functionality as the company rolls out its free NanOS 2.0.0 update to the compact guitar effects pedal and guitar amp ...

Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. Spiking Neural Networks (SNNs), with ...

Microsoft has announced that neural rendering capabilities are coming to DirectX soon. Cooperative vector support, as it’s called, will lead to “cross-platform enablement of neural rendering ...

Abstract: This advanced tutorial explores some recent applications of artificial neural networks (ANNs) to stochastic discrete-event simulation (DES). We first review some basic concepts and then give ...

A study appearing in Nature Neuroscience has linked distinct neural and behavioral characteristics in autism spectrum disorder (ASD) to a simple computational principle. Centered on the "dynamic range ...