ArticleCommunications biology2019
Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 41 citations in OpenAlex.
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- An asynchronous wireless network for capturing event-driven data from large populations of autonomous sensors.Nature electronics · 2024Article
- Differential expression of genes involved in the chronic response to intracortical microelectrodes.Acta biomaterialia · 2023Article
- SSVEP unsupervised adaptive feature recognition method based on self-similarity of same-frequency signals.Frontiers in neuroscience · 2023Article
- Neurosurgical Team Acceptability of Brain-Computer Interfaces: A Two-Stage International Cross-Sectional Survey.World neurosurgery · 2022Article
- Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.Brain computer interfaces (Abingdon, England) · 2022Article
- A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size.Neural computation · 2021Article
- Article
- Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus.Journal of neural engineering · 2020Article
- Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates.Communications biology · 2019Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Direct electronic communication with sensory areas of the neocortex is a challenging ambition for brain-computer interfaces. Here, we report the first successful neural decoding of English words with high intelligibility from intracortical spike-based neural population activity recorded from the secondary auditory cortex of macaques. We acquired 96-channel full-broadband population recordings using intracortical microelectrode arrays in the rostral and caudal parabelt regions of the superior temporal gyrus (STG). We leveraged a new neural processing toolkit to investigate the choice of decoding algorithm, neural preprocessing, audio representation, channel count, and array location on neural decoding performance. The presented spike-based machine learning neural decoding approach may further be useful in informing future encoding strategies to deliver direct auditory percepts to the brain as specific patterns of microstimulation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.