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Dorsal Column Nuclei Neural Signal Features Permit Robust Machine-Learning of Natural Tactile- and Proprioception-Dominated Stimuli

Loutit, Alastair; Potas, Jason


Neural prostheses enable users to effect movement through a variety of actuators by translating brain signals into movement control signals. However, to achieve more natural limb movements from these devices, the restoration of somatosensory feedback is required. We used feature-learnability, a machine-learning approach, to assess signal features for their capacity to enhance decoding performance of neural signals evoked by natural tactile and proprioceptive somatosensory stimuli, recorded from...[Show more]

CollectionsANU Research Publications
Date published: 2020
Type: Journal article
Source: Frontiers in Systems Neuroscience
DOI: 10.3389/fnsys.2020.00046
Access Rights: Open Access


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