Mu wave

Natural sciences
Biology
Neuroscience
Computational neuroscience

About
Privacy
Disclaimer

Graph Chatbot

Related publications (27)

Photoelectric neural interface combining wire-bonding μleds with iridium oxide microelectrodes for optogenetics

Xiang Chen

This paper reports the design, fabrication, electrical and thermal characterization, as well as attachment and stability of a flexible photoelectric neural interface (PENI). Upon the wire-bonding technology, three micro LED (mu LED) chips are well-connecte ...

Ieee2017

Flexible Optoelectric Neural Interface Integrated Wire-Bonding mu LEDs and Microelectrocorticography for Optogenetics

Xiaoyang Kang, Xiaolin Wang, Xiaowei Gu

As an advanced brain-computer interface, the flexible surface electrodearrayhas been used for spatiotemporal localization of neural interactions by recording electrocorticography (ECoG) signals over brain cortical areas. Compared with the electrical stimul ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu

Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on th ...

Frontiers Research Foundation2017

Detecting EEG correlates during preparation of complex driving maneuvers

Lucian Andrei Gheorghe

The main focus of this research is the development of real-time recording and analysis devices and algorithms for detecting Electroencephalography (EEG) correlates of steering actions. First, offline analysis where performed in a high fidelity driving simu ...

EPFL2017

EEG paradigms as a supplemental tool to behavioral assessments of DOC

José del Rocio Millán Ruiz, Serafeim Perdikis, Andrea Serino, Jean-Paul Noel

Introduction Diagnosis and prediction of recovery in the acute phase of disorders of consciousness (DOC) are critical for subsequent medical decisions. However, reliable assessment remains elusive due to the inability of current validated clinical scales t ...

2017

Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Background: One of the current challenges in brain-machine interfacing is to characterize and decode upper limb kinematics from brain signals, e.g. to control a prosthetic device. Recent research work states that it is possible to do so based on low freque ...

BioMed Central2017

Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?

Dimitri Nestor Alice Van De Ville, Rotem Roza Kopel, Kirsten Emmert

An increasing number of studies using real-time fMRI neurofeedback have demonstrated that successful regulation of neural activity is possible in various brain regions. Since these studies focused on the regulated region(s), little is known about the targe ...

Elsevier2016

Page 2 of 2