The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
The Science of Neural Interface Systems
Open accessAbstract
The ultimate goal of neural interface research is to create links between the nervous system and the outside world either by stimulating or by recording from neural tissue to treat or assist people with sensory, motor, or other disabilities of neural function. Although electrical stimulation systems have already reached widespread clinical application, neural interfaces that record neural signals to decipher movement intentions are only now beginning to develop into clinically viable systems to help paralyzed people. We begin by reviewing state-of-the-art research and early-stage clinical recording systems and focus on systems that record single-unit action potentials. We then address the potential for neural interface research to enhance basic scientific understanding of brain function by offering unique insights in neural coding and representation, plasticity, brain-behavior relations, and the neurobiology of disease. Finally, we discuss technical and scientific challenges faced by these systems before they are widely adopted by severely motor-disabled patients.
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Citations
Cites
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
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Self-citationNeuronal Population Coding of Movement Direction
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InfluentialCortical control of a prosthetic arm for self-feeding
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Real-time prediction of hand trajectory by ensembles of cortical neurons in primates
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Self-citationIntentional Maps in Posterior Parietal Cortex
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Cited by
NeuroGrid: recording action potentials from the surface of the brain
Khodagholy, D., Gelinas, J. N., Thesen, T., Doyle, W., Devinsky, O., Malliaras, G. G., & Buzsáki, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3905 · Cited by 938
How Local Is the Local Field Potential?
Kajikawa, Y., & Schroeder, C. E. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.029 · Cited by 590
A Review of Organic and Inorganic Biomaterials for Neural Interfaces
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Closed-Loop Control of Epilepsy by Transcranial Electrical Stimulation
Berényi, A., Belluscio, M., Mao, D., & Buzsáki, G. (2012) · Science · doi:10.1126/science.1223154 · Cited by 476
Metadata
- Authors
- Hatsopoulos, N. G., & Donoghue, J. P.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2009-06-01
- Volume
- 32
- Issue
- 1
- Pages
- 249-266
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2105469435
- Cited by
- 377
- References
- 107
- FWCI
- 1.82
- Type
- journal article
- Language
- en
- Open access
- green
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