Learning Personal Representations from fMRIby Predicting Neurofeedback Performance

We present a deep neural network method for learning a personal representation for individuals that are performing a self neuromodulation task, guided by functional MRI (fMRI). This neurofeedback task (watch vs. regulate) provides the subjects with a continuous feedback contingent on down regulation...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2021-12
Hauptverfasser:	Osin, Jhonathan, Wolf, Lior, Gurevitch, Guy, Jackob Nimrod Keynan, Fruchtman-Steinbok, Tom, Or-Borichev, Ayelet, Shira Reznik Balter, Hendler, Talma
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Linear prediction Machine learning Magnetic resonance imaging Neural networks Performance prediction Personality tests Recurrent neural networks Representations
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!