[HTML][HTML] From rubber hands to neuroprosthetics: Neural correlates of embodiment

F Castro, B Lenggenhager, D Zeller… - Neuroscience & …, 2023 - Elsevier
Our interaction with the world rests on the knowledge that we are a body in space and time,
which can interact with the environment. This awareness is usually referred to as sense of …

Invasive brain computer interface for motor restoration in spinal cord injury: a systematic review

JJ Levett, LM Elkaim, F Niazi, MH Weber… - … : Technology at the …, 2023 - Elsevier
Study design Systematic review of the literature. Objectives In recent years, brain-computer
interface (BCI) has emerged as a potential treatment for patients with spinal cord injury …

Stretchable temperature-responsive multimodal neuromorphic electronic skin with spontaneous synaptic plasticity recovery

Y Wang, D Liu, Y Zhang, L Fan, Q Ren, S Ma… - ACS nano, 2022 - ACS Publications
Multimodal electronic skin devices capable of detecting multimodal signals provide the
possibility for health monitoring. Sensing and memory for temperature and deformation by …

Electron conductive and transparent hydrogels for recording brain neural signals and neuromodulation

Q Liang, Z Shen, X Sun, D Yu, K Liu… - Advanced …, 2023 - Wiley Online Library
Recording brain neural signals and optogenetic neuromodulations open frontiers in
decoding brain neural information and neurodegenerative disease therapeutics …

[HTML][HTML] Breathing is coupled with voluntary initiation of mental imagery

HD Park, T Piton, OA Kannape, NW Duncan, KY Lee… - NeuroImage, 2022 - Elsevier
Previous research has suggested that bodily signals from internal organs are associated
with diverse cortical and subcortical processes involved in sensory-motor functions, beyond …

A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study

P Demarest, N Rustamov, J Swift, T Xie, M Adamek… - Scientific reports, 2024 - nature.com
Limitations in chronic pain therapies necessitate novel interventions that are effective,
accessible, and safe. Brain–computer interfaces (BCIs) provide a promising modality for …

Bioactive polymer-enabled conformal neural interface and its application strategies

Z Hu, Q Niu, BS Hsiao, X Yao, Y Zhang - Materials Horizons, 2023 - pubs.rsc.org
Neural interface is a powerful tool to control the varying neuron activities in the brain, where
the performance can directly affect the quality of recording neural signals and the reliability …

Multisensory integration in bionics: relevance and perspectives

G Risso, G Valle - Current Physical Medicine and Rehabilitation Reports, 2022 - Springer
Purpose of review The goal of the review is to highlight the growing importance of
multisensory integration processes connected to bionic limbs and somatosensory feedback …

Intentional binding for noninvasive BCI control

T Venot, A Desbois, MC Corsi… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Noninvasive brain–computer interfaces (BCIs) allow to interact with the external
environment by naturally bypassing the musculoskeletal system. Making BCIs efficient and …

Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high …

VK Reddy, SB Melingi, CVP Kumar, KA Kumar… - Artificial Intelligence …, 2023 - Springer
Abstract An Optimization Driven Spike Deep Belief Neural Networks is a type of neural
network that is inspired by the functioning of the human brain. It is a variant of the more …