Neural decoding for intracortical brain–computer interfaces
Brain–computer interfaces have revolutionized the field of neuroscience by providing a
solution for paralyzed patients to control external devices and improve the quality of daily …
solution for paralyzed patients to control external devices and improve the quality of daily …
The state of clinical trials of implantable brain–computer interfaces
KM Patrick-Krueger, I Burkhart… - Nature reviews …, 2024 - nature.com
Implanted brain–computer interfaces (iBCIs) translate brain activity recorded intracranially
into commands for virtual or physical machines to restore or rehabilitate motor, sensory or …
into commands for virtual or physical machines to restore or rehabilitate motor, sensory or …
[HTML][HTML] Restoring the sense of touch using a sensorimotor demultiplexing neural interface
PD Ganzer, SC Colachis, MA Schwemmer… - Cell, 2020 - cell.com
Paralyzed muscles can be reanimated following spinal cord injury (SCI) using a brain-
computer interface (BCI) to enhance motor function alone. Importantly, the sense of touch is …
computer interface (BCI) to enhance motor function alone. Importantly, the sense of touch is …
Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus
Objective. To evaluate the potential of intracortical electrode array signals for brain-computer
interfaces (BCIs) to restore lost speech, we measured the performance of decoders trained …
interfaces (BCIs) to restore lost speech, we measured the performance of decoders trained …
Sense of agency for intracortical brain–machine interfaces
Intracortical brain–machine interfaces decode motor commands from neural signals and
translate them into actions, enabling movement for paralysed individuals. The subjective …
translate them into actions, enabling movement for paralysed individuals. The subjective …
Long-term intracortical microelectrode array performance in a human: a 5 year retrospective analysis
SC Colachis, CF Dunlap, NV Annetta… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Brain-computer interfaces (BCIs) that record neural activity using intracortical
microelectrode arrays (MEAs) have shown promise for mitigating disability associated with …
microelectrode arrays (MEAs) have shown promise for mitigating disability associated with …
Bioelectronic medicine: from preclinical studies on the inflammatory reflex to new approaches in disease diagnosis and treatment
Bioelectronic medicine is an evolving field in which new insights into the regulatory role of
the nervous system and new developments in bioelectronic technology result in novel …
the nervous system and new developments in bioelectronic technology result in novel …
Systematic analysis of wavelet denoising methods for neural signal processing
Objective. Among the different approaches for denoising neural signals, wavelet-based
methods are widely used due to their ability to reduce in-band noise. All wavelet denoising …
methods are widely used due to their ability to reduce in-band noise. All wavelet denoising …
Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning
N Ahmadi, TG Constandinou… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Brain–machine interfaces (BMIs) seek to restore lost motor functions in individuals
with neurological disorders by enabling them to control external devices directly with their …
with neurological disorders by enabling them to control external devices directly with their …
Bioelectronic medicine: updates, challenges and paths forward
It is an exciting time for the expanding field of Bioelectronic Medicine. Ongoing innovative
preclinical research and development provide a rationale for studying new diagnostic and …
preclinical research and development provide a rationale for studying new diagnostic and …