A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity

Research article (Scientific Reports, 2022) · cited 19× · AI/ML
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A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity

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A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-neurophysiologically-interpretable-deep-neural-network-predicts-complex-movement-components-from-brain-activity
MLA “A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-neurophysiologically-interpretable-deep-neural-network-predicts-complex-movement-components-from-brain-activity.
BibTeX @misc{4ortxyz_a-neurophysiologically-interpretable-deep-neural-network-predicts-complex-movement-components-from-brain-activity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity}}, year = {2026}, url = {https://4ort.xyz/entity/a-neurophysiologically-interpretable-deep-neural-network-predicts-complex-movement-components-from-brain-activity}, note = {Accessed: 2026-05-24}}
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