High-bandwidth brain–computer interfaces

Biomedical EngineeringUpdated Aug 6, 2026Version v1

Evidence

Public papers linked to this topic and used as evidence for gaps, timelines, and knowledge views.

40 papers

Showing 13-24 of total 40 evidence records.

Open a paper to inspect abstract, source links, and topic context.

2020OpenAlexSupporting evidence93 citations

Dariusz Zapała; Emilia Zabielska‐Mendyk; Paweł Augustynowicz; Andrzej Cudo; Marta Jaśkiewicz; Marta Szewczyk; Natalia Kopiś-Posiej; Piotr Francuz

Feb 7, 2020Scientific Reports

2020OpenAlexDirectly related313 citations

EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces

Thorir Mar Ingolfsson; Michael Hersche; Xiaying Wang; Nobuaki Kobayashi; Lukas Cavigelli; Luca Benini

Jan 1, 2020Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)

2019OpenAlexSupporting evidence25 citations

Effects of high stimulus presentation rate on EEG template characteristics and performance of c-VEP based BCIs

Toygun Başaklar; Yiğit Tuncel; Y.Z. Ider

Mar 5, 2019Biomedical Physics & Engineering Express

2018CrossrefDirectly related139 citations

Multi-scale, multi-modal analysis uncovers complex relationship at the brain tissue-implant neural interface: new emphasis on the biological interface

Nicholas J Michelson; Alberto L Vazquez; James R Eles; Joseph W Salatino; Erin K Purcell; Jordan J Williams; X Tracy Cui; Takashi D Y Kozai

Jun 1, 2018Journal of Neural Engineering

2017OpenAlexDirectly related320 citations

An Implantable Wireless Neural Interface System for Simultaneous Recording and Stimulation of Peripheral Nerve with a Single Cuff Electrode

Ahnsei Shon; Jun‐Uk Chu; Jiuk Jung; Hyungmin Kim; Inchan Youn

Dec 21, 2017Sensors

2017OpenAlexSupporting evidence97 citations

Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

Trieu Phat Luu; Sho Nakagome; Yongtian He; José L. Contreras-Vidal

Aug 15, 2017Scientific Reports

2017OpenAlexDirectly related126 citations

Rapid control and feedback rates enhance neuroprosthetic control

Maryam M. Shanechi; Amy L. Orsborn; Helene G. Moorman; Suraj Gowda; Siddharth Dangi; Jose M. Carmena

Jan 6, 2017Nature Communications

2016OpenAlexDirectly related227 citations

Making brain–machine interfaces robust to future neural variability

David Sussillo; Sergey D. Stavisky; Jonathan C. Kao; Stephen I. Ryu; Krishna V. Shenoy

Dec 13, 2016Nature Communications

2016OpenAlexSupporting evidence432 citations

Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients

Ana R. C. Donati; Solaiman Shokur; Edgard Morya; Debora S. F. Campos; Renan C. Moioli; Claudia M. Gitti; Patricia B. Augusto; Sandra Tripodi; Cristhiane Garabello Pires; Gislaine A. Pereira; Fabrício Lima Brasil; Simone Gallo; Anthony A. Lin; A. Takigami; Maria Adelia Aratanha; Sanjay S. Joshi; Hannes Bleuler; Gordon Cheng; Alan Rudolph; Miguel A. L. Nicolelis

Aug 11, 2016Scientific Reports

2016OpenAlexDirectly related111 citations

Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain–computer interface to a virtual reality avatar

Trieu Phat Luu; Yongtian He; Samuel M. Brown; Sho Nakagome; José L. Contreras-Vidal

Apr 11, 2016Journal of Neural Engineering

2016OpenAlexDirectly related168 citations

Scanning electron microscopy of chronically implanted intracortical microelectrode arrays in non-human primates

James C. Barrese; Juan Aceros; John P. Donoghue

Jan 29, 2016Journal of Neural Engineering

2015OpenAlexDirectly related150 citations

Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control

Iñaki Iturrate; Ricardo Chavarriaga; Luis Montesano; Javier Mínguez; José del R. Millán

Sep 10, 2015Scientific Reports