Advancing sensory neuroprosthetics using artificial brain networks.
basic_science · Level V
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- Record sourced from PubMed, PMID 34286308.
- Also identified by DOI 10.1016/j.patter.2021.100304 and PMC identifier 8276008.
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Abstract
Implementation of effective brain or neural stimulation protocols for restoration of complex sensory perception, e.g., in the visual domain, is an unresolved challenge. By leveraging the capacity of deep learning to model the brain's visual system, optic nerve stimulation patterns could be derived that are predictive of neural responses of higher-level cortical visual areas <i>in silico</i>. This novel approach could be generalized to optimize different types of neuroprosthetics or bidirectional brain-computer interfaces (BCIs).