BrainGate: A Breakthrough in Brain-Machine Interface Technology

BrainGate is a cutting edge brain machine interface (BMI) system that enables individuals with severe motor disabilities to control external devices using their neural activity. This paper provides a comprehensive overview of the BrainGate technology, its underlying principles, technical implementation, applications, and current state of research. The paper also discusses the challenges and future directions for BrainGate and BMI technologies in general.

Authors

Nishanth Arun (ORCID: https://orcid.org/0000-0003-1424-4703)
S Akash
S Manjunath
K Anush
K Basavaraj

Publication Details

Published: 2024-11-23
DOI: https://doi.org/10.59544/kevy2681/icrcct24p77
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

BrainGate: A Breakthrough in Brain-Machine Interface Technology

Nishanth Arun, S Akash, S Manjunath, K Anush et al.

Nov 23, 2024

EEG and Brain-Computer Interfaces

article

BrainGate: A Breakthrough in Brain-Machine Interface Technology

Nishanth Arun, S Akash, S Manjunath, K Anush, K Basavaraj

November 23, 2024article en

Abstract

Quality Education

Openalex Percentile: Top 78%

EEG and Brain-Computer Interfaces

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

BrainGate: A Breakthrough in Brain-Machine Interface Technology — Nishanth Arun, S Akash, et al. · (2024) | TGRS Research Map | TGRS