Dec 13, 2015 · By continuous pairing of user intent and artificial reproduction of that movement, such BCIs follow the principle of Hebbian association (Hebb ...
The changing brain: bidirectional learning between algorithm and user. In C. Guger, G. Müller-Putz, & B. Allison (Eds.), Brain-Computer Interface Research ...
We found that training with an MI-based BCI affects cortical activation patterns especially in users with low BCI performance. Our results may serve as a ...
The Changing Brain: Bidirectional Learning Between Algorithm and User-book.
This review article summarises recently proposed theories on how neural circuits in the brain could approximate the error back-propagation algorithm used by ...
Jul 18, 2023 · The basic concept of reinforcement learning is to improve behaviour by learning from trail-and-error, ie trial and error.
Feb 16, 2022 · First, the similarity between the algorithms and the brain primarily depends on their ability to predict words from context. Second, this ...
Jan 3, 2024 · A new principle to explain how the brain adjusts connections between neurons during learning. This new insight may guide further research on learning in brain ...
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Aug 27, 2024 · This comprehensive review explores the diverse design inspirations that have shaped modern AI models, ie, brain-inspired artificial intelligence (BIAI).
Mar 30, 2015 · The method works by using machine learning techniques to evaluate the mutual information between brain and model state changes. Models are ...