×
Mar 30, 2020 · In the present study, we tested several neural network configurations for the prediction of attentional control state (RTV) from respiratory parameters.
This study tested several neural network configurations for the prediction of attentional control state (RTV) from respiratory parameters, and concludes ...
Current methods to infer an agent's state of attentional focus rely on scalp potential recordings and pupil diameter measurements, both of which are ...
Mar 30, 2020 · Prediction of attentional focus from respiration with simple feed-forward and time delay neural networks. Neural Computing and Applications, 1- ...
Jan 11, 2023 · (2020) Prediction of Attentional Focus from Respiration with Simple Feed Forward and Time Delay Neural Networks. Springer Science and ...
Prediction of attentional focus from respiration with simple feed-forward and time delay neural networks. Language: English; Authors: Melnychuk, Michael ...
In the present study, we tested several neural network configurations for the prediction of attentional control state (RTV) from respiratory parameters. We ...
In the present study, we tested several neural network configurations for the prediction of attentional control state (RTV) from respiratory parameters. We ...
Prediction of attentional focus from respiration with simple feed-forward and time delay neural networks. MC Melnychuk, PR Murphy, IH Robertson, JH Balsters ...
May 8, 2024 · Prediction of attentional focus from respiration with simple feed-forward and time delay neural networks. Neural Comput. Appl. 32(18): 14875 ...