Explanipedia

Gesture encoding in human left precentral gyrus neuronal ensembles Open

Carlos E. Vargas-Irwin, Tommy Hosman, Jacob Gusman, Tsam Kiu Pun, John D. Simeral , et al. · 2025

Decoding intended speech with an intracortical brain-computer interface in a person with longstanding anarthria and locked-in syndrome Open

Justin Jude, Stephanie Haro, Hadar Levi-Aharoni, Hiroaki Hashimoto, Alexander J. Acosta , et al. · 2025

Intracortical brain-computer interfaces (iBCIs) for decoding intended speech have provided individuals with ALS and severe dysarthria an intuitive method for high-throughput communication. These advances have been demonstrated in individua…

Long-term performance of intracortical microelectrode arrays in 14 BrainGate clinical trial participants Open

Nick Hahn, Elias A. Stein, John P. Donoghue, John D. Simeral, Leigh R. Hochberg , et al. · 2025

Brain–computer interfaces have enabled people with paralysis to control computer cursors, operate prosthetic limbs, and communicate through handwriting, speech, and typing. Most high-performance demonstrations have used silicon microelectr…

An intuitive, bimanual, high-throughput QWERTY touch typing neuroprosthesis for people with tetraplegia Open

Justin Jude, Hadar Levi-Aharoni, Alexander J. Acosta, Shane Allcroft, Claire Nicolas , et al. · 2025

Recognizing keyboard typing as a familiar, high information rate communication paradigm, we developed an intracortical brain computer interface (iBCI) typing neuroprosthesis providing bimanual QWERTY keyboard functionality for people with …

Multi-gesture drag-and-drop decoding in a 2D iBCI control task Open

Jacob Gusman, Tommy Hosman, Rekha Crawford, Tyler Singer-Clark, Anastasia Kapitonava , et al. · 2025

Objective . Intracortical brain–computer interfaces (iBCIs) have demonstrated the ability to enable point and click as well as reach and grasp control for people with tetraplegia. However, few studies have investigated iBCIs during long-du…

Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces Open

Tsam Kiu Pun, Mona Khoshnevis, Tommy Hosman, Guy H. Wilson, Anastasia Kapitonava , et al. · 2024

Gesture encoding in human left precentral gyrus neuronal ensembles Open

Carlos E. Vargas-Irwin, Tommy Hosman, Jacob Gusman, Tsam Kiu Pun, John D. Simeral , et al. · 2024

Understanding the cortical activity patterns driving dexterous upper limb motion has the potential to benefit a broad clinical population living with limited mobility through the development of novel brain-computer interface (BCI) technolo…

Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces Open

Tsam Kiu Pun, Mona Khoshnevis, Tommy Hosman, Guy H. Wilson, Anastasia Kapitonava , et al. · 2024

Intracortical brain-computer interfaces (iBCIs) enable people with tetraplegia to gain intuitive cursor control from movement intentions. To translate to practical use, iBCIs should provide reliable performance for extended periods of time…

Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System Open

Daniel B. Rubin, A. Bolu Ajiboye, L. Barefoot, Marguerite Bowker, Sydney S. Cash , et al. · 2023

This study provides Class IV evidence that the neurosurgically placed BrainGate Neural Interface system is associated with a low rate of SAEs defined as those requiring device explantation, resulting in death, or resulting in permanently i…

Learned Motor Patterns Are Replayed in Human Motor Cortex during Sleep Open

Daniel B. Rubin, Tommy Hosman, Jessica N. Kelemen, Anastasia Kapitonava, Francis R. Willett , et al. · 2022

Consolidation of memory is believed to involve offline replay of neural activity. While amply demonstrated in rodents, evidence for replay in humans, particularly regarding motor memory, is less compelling. To determine whether replay occu…

Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia Open

John D. Simeral, Tommy Hosman, Jad Saab, Sharlene N. Flesher, Marco Vilela , et al. · 2021

Wireless multi-electrode recording of broadband neural signals over extended periods introduces a valuable tool for human neuroscience research and is an important step toward practical deployment of iBCI technology for independent use by …

Auditory cues reveal intended movement information in middle frontal gyrus neuronal ensemble activity of a person with tetraplegia Open

Tommy Hosman, Jacqueline B. Hynes, Jad Saab, Kaitlin G. Wilcoxen, Bradley R. Buchbinder , et al. · 2021

Home Use of a Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia Open

John D. Simeral, Tommy Hosman, Jad Saab, Sharlene N. Flesher, Marco Vilela , et al. · 2019

Individuals with neurological disease or injury such as amyotrophic lateral sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even locked-in. For people with these conditions, current assistive technologies…

Principled BCI Decoder Design and Parameter Selection Using a Feedback Control Model Open

Francis R. Willett, Daniel R. Young, Brian Murphy, William D. Memberg, Christine H Blabe , et al. · 2019

BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation Open

Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman , et al. · 2019

Intracortical brain computer interfaces (iBCIs) using linear Kalman decoders have enabled individuals with paralysis to control a computer cursor for continuous point-and-click typing on a virtual keyboard, browsing the internet, and using…

Volitional control of single-electrode high gamma local field potentials by people with paralysis Open

Tomislav Milekovic, Daniel Bacher, Anish A. Sarma, John D. Simeral, Jad Saab , et al. · 2019

Intracortical brain-computer interfaces (BCIs) can enable individuals to control effectors, such as a computer cursor, by directly decoding the user’s movement intentions from action potentials and local field potentials (LFPs) recorded wi…

BCI decoder performance comparison of an LSTM recurrent neural network\n and a Kalman filter in retrospective simulation Open

Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman , et al. · 2018

Intracortical brain computer interfaces (iBCIs) using linear Kalman decoders\nhave enabled individuals with paralysis to control a computer cursor for\ncontinuous point-and-click typing on a virtual keyboard, browsing the internet,\nand us…

Cortical control of a tablet computer by people with paralysis Open

Paul Nuyujukian, José Albites-Sanabria, Jad Saab, Chethan Pandarinath, Beata Jarosiewicz , et al. · 2018

General-purpose computers have become ubiquitous and important for everyday life, but they are difficult for people with paralysis to use. Specialized software and personalized input devices can improve access, but often provide only limit…

Watch, Imagine, Attempt: Motor Cortex Single-Unit Activity Reveals Context-Dependent Movement Encoding in Humans With Tetraplegia Open

Carlos E. Vargas-Irwin, Jessica M. Feldman, Brandon King, John D. Simeral, Brittany L Sorice , et al. · 2018

Planning and performing volitional movement engages widespread networks in the human brain, with motor cortex considered critical to the performance of skilled limb actions. Motor cortex is also engaged when actions are observed or imagine…

Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals Open

Tomislav Milekovic, Anish A. Sarma, Daniel Bacher, John D. Simeral, Jad Saab , et al. · 2018

Restoring communication for people with locked-in syndrome remains a challenging clinical problem without a reliable solution. Recent studies have shown that people with paralysis can use brain-computer interfaces (BCIs) based on intracort…

Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration Open

A. Bolu Ajiboye, Francis R. Willett, Daniel R. Young, William D. Memberg, Brian Murphy , et al. · 2017

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future Open

Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor , et al. · 2017

The Sixth International Brain-Computer Interface (BCI) Meeting was held 30 May-3 June 2016 at the Asilomar Conference Grounds, Pacific Grove, California, USA. The conference included 28 workshops covering topics in BCI and brain-machine in…

Feedback control policies employed by people using intracortical brain–computer interfaces Open

Francis R. Willett, Chethan Pandarinath, Beata Jarosiewicz, Brian Murphy, William D. Memberg , et al. · 2016

Objective . When using an intracortical BCI (iBCI), users modulate their neural population activity to move an effector towards a target, stop accurately, and correct for movement errors. We call the rules that govern this modulation a ‘fe…

Clinical translation of a high-performance neural prosthesis Open

Vikash Gilja, Chethan Pandarinath, Christine H Blabe, Paul Nuyujukian, John D. Simeral , et al. · 2015

An assistive decision-and-control architecture for force-sensitive hand–arm systems driven by human–machine interfaces Open

Jörn Vogel, Sami Haddadin, Beata Jarosiewicz, John D. Simeral, Daniel Bacher , et al. · 2015

Fully autonomous applications of modern robotic systems are still constrained by limitations in sensory data processing, scene interpretation, and automated reasoning. However, their use as assistive devices for people with upper-limb disa…

Reprint of “Non-causal spike filtering improves decoding of movement intention for intracortical BCIs” Open

Nicolas Y. Masse, Beata Jarosiewicz, John D. Simeral, Daniel Bacher, Sergey D. Stavisky , et al. · 2015

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