Advanced large-scale neural interfaces call for efficient algorithms to automatically process and optimally exploit the richness of their heavy continuous flow of data. In this context, we introduce ...
In a recent study, a research team led by Assistant Professor Kazuya Sawada from the Department of Information and Computer Technology, Faculty of Engineering at Tokyo University of Science (TUS), ...
Nonlinear dynamical systems are characterised by complex interactions that defy traditional linear control methods. Neural network control strategies offer a data-driven paradigm, leveraging both ...
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