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 …
Deep learning approaches for neural decoding across architectures and recording modalities
JA Livezey, JI Glaser - Briefings in bioinformatics, 2021 - academic.oup.com
Decoding behavior, perception or cognitive state directly from neural signals is critical for
brain–computer interface research and an important tool for systems neuroscience. In the …
brain–computer interface research and an important tool for systems neuroscience. In the …
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets
Sleep relaxes and rests the body by slowing down the metabolism, making us physically
stronger and fitter when we wake up. However, in a sleep disorder that may occur in …
stronger and fitter when we wake up. However, in a sleep disorder that may occur in …
On-fpga spiking neural networks for end-to-end neural decoding
In the last decades, deep learning neural decoding algorithms have gained momentum in
the field of neural interfaces and neural processing systems. However, to be deployed on …
the field of neural interfaces and neural processing systems. However, to be deployed on …
Firing-rate-modulated spike detection and neural decoding co-design
Z Zhang, TG Constandinou - Journal of Neural Engineering, 2023 - iopscience.iop.org
Objective. Translational efforts on spike-signal-based implantable brain-machine interfaces
(BMIs) are increasingly aiming to minimise bandwidth while maintaining decoding …
(BMIs) are increasingly aiming to minimise bandwidth while maintaining decoding …
Towards Intelligent Intracortical BMI (iBMI): Low-Power Neuromorphic Decoders That Outperform Kalman Filters
Fully-implantable wireless intracortical Brain Machine Interfaces (iBMI) is one of the most
promising next frontiers in the nascent field of neurotechnology. However, scaling the …
promising next frontiers in the nascent field of neurotechnology. However, scaling the …
Robust neural decoding by kernel regression with siamese representation learning
Objective. Brain–machine interfaces (BMIs) provide a direct pathway between the brain and
external devices such as computer cursors and prosthetics, which have great potential in …
external devices such as computer cursors and prosthetics, which have great potential in …
[HTML][HTML] Selection of essential neural activity timesteps for intracortical brain–computer interface based on recurrent neural network
Intracortical brain–computer interfaces (iBCIs) translate neural activity into control
commands, thereby allowing paralyzed persons to control devices via their brain signals …
commands, thereby allowing paralyzed persons to control devices via their brain signals …
Intracortical Hindlimb Brain–Computer Interface Systems: A Systematic Review
Brain-computer interfaces (BCI) can help people with motor disorders to regain their ability
to communicate and interact with the surrounding environment. The majority of studies in …
to communicate and interact with the surrounding environment. The majority of studies in …
[HTML][HTML] Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials
T Martineau, S He, R Vaidyanathan… - Frontiers in Human …, 2023 - frontiersin.org
Introduction Decoding brain states from subcortical local field potentials (LFPs) indicative of
activities such as voluntary movement, tremor, or sleep stages, holds significant potential in …
activities such as voluntary movement, tremor, or sleep stages, holds significant potential in …