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System Identification of Neural Systems: Going Beyond Images to Modelling Dynamics
Towards this end, we propose a system identification study focused on comparing single image vs. video understanding models with respect to the visual cortex recordings.
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition
In this paper, we (1) propose a simple adaptive ensemble classification system that handles the inter-subject variability, (2) present a simple BCI-AR framework that supports the development of a wide range of SSVEP-based BCI-AR applications, and (3) evaluate the performance of our ensemble algorithm in an SSVEP-based BCI-AR application with head rotations which has demonstrated robustness to the movement interference.
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