The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...

Abstract: The impedance network (IN) model is gaining popularity in the oscillation analysis of wind farms. However, the construction of such an IN model requires impedance curves of each wind turbine ...

Stunning revelations came to light during Wednesday's hearing. The most explosive development in Wednesday’s hearing emerged before any argument about presidential pressure to prosecute: U.S. Attorney ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

1 Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia 2 Research Institute for Applied Artificial Intelligence and Digital ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

As an essential branch of chemical science, biochemical analysis is widely applied in disease diagnosis, food safety testing, environmental monitoring, and other fields. Artificial intelligence (AI) ...

This review explores the vectorial principles underlying sensorimotor decoding across diverse biological systems. From the encoding of light wavelength in retinal cones to direction-specific motor ...

The importance of using reward-based methods to train dogs is widely known, yet some people still use aversive methods. By definition, both reward-based and aversive methods work to change behavior, ...

We've probably all received confirmation codes sent via text message when trying to sign into an account. Those codes are supposed to serve as two-factor authentication to confirm our identity and ...