Brain–machine interfaces: closed-loop control in an adaptive system

E Sorrell, ME Rule, T O'Leary - Annual Review of Control …, 2021 - annualreviews.org
Brain–machine interfaces (BMIs) promise to restore movement and communication in
people with paralysis and ultimately allow the human brain to interact seamlessly with …

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

NJ Michelson, AL Vazquez, JR Eles… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Implantable neural electrode devices are important tools for neuroscience
research and have an increasing range of clinical applications. However, the intricacies of …

Power-efficient in vivo brain-machine interfaces via brain-state estimation

D Valencia, G Leone, N Keller… - Journal of neural …, 2023 - iopscience.iop.org
Objective. Advances in brain–machine interfaces (BMIs) can potentially improve the quality
of life of millions of users with spinal cord injury or other neurological disorders by allowing …

An Efficient Brain-Switch for Asynchronous Brain-Computer Interfaces

D Valencia, PP Mercier… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Intracortical brain computer interfaces (iBCIs) utilizing extracellular recordings mainly
employ in vivo signal processing application-specific integrated circuits (ASICs) to detect …

Efficient In Vivo Neural Signal Compression Using an Autoencoder-based Neural Network

D Valencia, PP Mercier… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Conventional in vivo neural signal processing involves extracting spiking activity within the
recorded signals from an ensemble of neurons and transmitting only spike counts over an …

Cyclic, condition-independent activity in primary motor cortex predicts corrective movement behavior

AG Rouse, MH Schieber, SV Sarma - Eneuro, 2022 - eneuro.org
Reaching movements are known to have large condition-independent (CI) neural activity
and cyclic neural dynamics. A new precision center-out task was performed by rhesus …

Brain-Computer Interfaces for upper limb motor rehabilitation of stroke patients

RI Carino-Escobar, J Cantillo-Negrete - Revista mexicana de …, 2020 - scielo.org.mx
Abstract Brain-Computer Interfaces (BCI) decode users' intentions from the central nervous
system and could be applied for upper limb motor rehabilitation of patients that have …

Towards Autonomous Brain-Computer Interfaces: Approaches, Design, and Implementation

D Valencia - 2024 - search.proquest.com
Autonomous brain-computer interfaces (BCIs) are devices designed to record, process, and
interpret neural activity, enabling individuals with neurodegenerative diseases or spinal cord …