Abstract:
OBJECTIVE:The past two decades have seen dramatic progress in our ability to model brain signals recorded by electroencephalography, functional near-infrared spectroscopy, etc., and to derive real-time estimates of user cognitive state, response, or intent for a variety of purposes: to restore communication by the severely disabled, to effect brain-actuated control and, more recently, to augment human-computer interaction. Continuing these advances, largely achieved through increases in computational power and methods, requires software tools to streamline the creation, testing, evaluation and deployment of new data analysis methods. APPROACH:Here we present BCILAB, an open-source MATLAB-based toolbox built to address the need for the development and testing of brain-computer interface (BCI) methods by providing an organized collection of over 100 pre-implemented methods and method variants, an easily extensible framework for the rapid prototyping of new methods, and a highly automated framework for systematic testing and evaluation of new implementations. MAIN RESULTS:To validate and illustrate the use of the framework, we present two sample analyses of publicly available data sets from recent BCI competitions and from a rapid serial visual presentation task. We demonstrate the straightforward use of BCILAB to obtain results compatible with the current BCI literature. SIGNIFICANCE:The aim of the BCILAB toolbox is to provide the BCI community a powerful toolkit for methods research and evaluation, thereby helping to accelerate the pace of innovation in the field, while complementing the existing spectrum of tools for real-time BCI experimentation, deployment and use.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Kothe CA,Makeig Sdoi
10.1088/1741-2560/10/5/056014subject
Has Abstractpub_date
2013-10-01 00:00:00pages
056014issue
5eissn
1741-2560issn
1741-2552journal_volume
10pub_type
杂志文章abstract:OBJECTIVE:Current mapping of epileptic networks in patients prior to epilepsy surgery utilizes electrode arrays with sparse spatial sampling (∼1.0 cm inter-electrode spacing). Recent research demonstrates that sub-millimeter, cortical-column-scale domains have a role in seizure generation that may be clinically signifi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/2/026015
更新日期:2016-04-01 00:00:00
abstract:OBJECTIVE:We have recently developed a prototype of a novel human-computer interface for assistive communication based on voluntary shifts of attention (gaze) from a far target to a near target associated with a decrease of pupil size (Pupillary Accommodative Response, PAR), an automatic vegetative response that can be...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab8e8f
更新日期:2020-04-29 00:00:00
abstract:OBJECTIVE:Loss of even part of the upper limb is a devastating injury. In order to fully restore natural function when lacking sufficient residual musculature, it is necessary to record directly from peripheral nerves. However, current approaches must make trade-offs between signal quality and longevity which limit the...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/4/046007
更新日期:2016-08-01 00:00:00
abstract:OBJECTIVE:Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site expert supervision are required for ROI definition. To automate this step,...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/14/1/016004
更新日期:2017-02-01 00:00:00
abstract:OBJECTIVE:Intramuscular electromyography (iEMG) signals, non-invasively recorded, directly from the muscles are used to diagnose various neuromuscular disorders/diseases, also to control rehabilitative and assistive robotic devices. iEMG signals are being potentially used in neurology, kinesiology, rehabilitation, and ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abcc7f
更新日期:2020-11-20 00:00:00
abstract::Retinal implants have proven their ability to restore visual sensation to people with degenerative retinopathy, characterized by photoreceptor cell death and the retina's inability to sense light. Retinal bionics operate by electrically stimulating the surviving neurons in the retina, thus triggering the transfer of v...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2552/aa6cbb
更新日期:2017-08-01 00:00:00
abstract:OBJECTIVE:Recent advances in neural engineering have restored mobility to people with paralysis, relieved symptoms of movement disorders, reduced chronic pain, restored the sense of hearing, and provided sensory perception to individuals with sensory deficits. APPROACH:This progress was enabled by the team-based, inte...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2552/ab4869
更新日期:2019-11-12 00:00:00
abstract:OBJECTIVE:The vision of bioelectronic medicine is to treat disease by modulating the signaling of visceral nerves near various end organs. In small animal models, the nerves of interest can have small diameters and limited surgical access. New high-resolution methods for building nerve interfaces are desirable. In this...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa5a5b
更新日期:2017-06-01 00:00:00
abstract:OBJECTIVE:Ultrasounds (US) use in neural engineering is so far mainly limited to ablation through high intensity focused ultrasound, but interesting preliminary results show that low intensity low frequency ultrasound could be used instead to modulate neural activity. However, the extent of this modulatory ability of U...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abae8b
更新日期:2020-10-14 00:00:00
abstract:OBJECTIVE:We have previously demonstrated a brain-machine interface neuroprosthetic system that provided continuous control of functional electrical stimulation (FES) and restoration of grasp in a primate model of spinal cord injury (SCI). Predicting intended EMG directly from cortical recordings provides a flexible hi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/4/046009
更新日期:2016-08-01 00:00:00
abstract::Functional electrical stimulation (FES) involves artificial activation of muscles with surface or implanted electrodes to restore motor function in paralyzed individuals. Currently, FES-based prostheses produce only a limited range of movements due to the difficulty associated with identifying patterns of muscle activ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/6/5/055008
更新日期:2009-10-01 00:00:00
abstract:OBJECTIVE:Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes motor imagery (MI) of leg flexion and extension. APPROACH:We execute...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa7df9
更新日期:2017-10-01 00:00:00
abstract:OBJECTIVE:By means of subjective psychophysical methods, quality of transmitted speech has been decomposed into three perceptual dimensions named 'discontinuity' (F), 'noisiness' (N) and 'coloration' (C). Previous studies using electroencephalography (EEG) already reported effects of perceived intensity of single quali...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aaf122
更新日期:2019-06-01 00:00:00
abstract::We hypothesize that a visual prosthesis capable of evoking high-resolution visual perceptions can be produced using high-electrode-count arrays of penetrating microelectrodes implanted into the primary visual cortex of a blind human subject. To explore this hypothesis, and as a prelude to human psychophysical experime...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/3/035001
更新日期:2011-06-01 00:00:00
abstract:OBJECTIVE:The majority of near-infrared spectroscopy (NIRS) brain-computer interface (BCI) studies have investigated binary classification problems. Limited work has considered differentiation of more than two mental states, or multi-class differentiation of higher-level cognitive tasks using measurements outside of th...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/6/066008
更新日期:2015-12-01 00:00:00
abstract:OBJECTIVE:Brain-computer interfaces (BCI) are becoming important tools for assistive technology, particularly through the use of motor imagery (MI) for aiding task completion. However, most existing methods of MI classification have been applied in a trial-wise fashion, with window sizes of approximately 2 s or more. A...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab57c0
更新日期:2020-01-31 00:00:00
abstract:OBJECTIVE:Despite their increasing use and public health importance, little is known about the consistency and variability of the quantitative features of baseline electroencephalography (EEG) measurements in healthy individuals and populations. This study aims to investigate population consistency of EEG features. AP...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab4af3
更新日期:2019-11-12 00:00:00
abstract:OBJECTIVE:To determine whether the estimated fraction and degree of distribution of visual responsive neurons in human intracranial microwire recordings depends upon the spike sorting method used. APPROACH:A large dataset of human intracranial microwire recordings from four brain areas was sorted into single unit acti...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab6cb8
更新日期:2020-04-09 00:00:00
abstract:OBJECTIVE:Intracranial EEG (iEEG) or micro-electrocorticography (µECoG) microelectrodes offer high spatial resolution in recordings of neuronal activity from the exposed brain surface. Reliability of dielectric substrates and conductive materials of these devices are under intensive research in terms of functional stab...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aacf71
更新日期:2018-10-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章,随机对照试验
doi:10.1088/1741-2560/10/1/016014
更新日期:2013-02-01 00:00:00
abstract:OBJECTIVE:Neuromodulation technologies are increasingly used for improving function after neural injury. To achieve a symbiotic relationship between device and user, the device must augment remaining function, and independently adapt to day-to-day changes in function. The goal of this study was to develop predictive co...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab8e8e
更新日期:2020-06-02 00:00:00
abstract::Deep brain stimulation (DBS) has emerged as an effective treatment for movement disorders; however, the fundamental mechanisms by which DBS works are not well understood. Computational models of DBS can provide insights into these fundamental mechanisms and typically require two steps: calculation of the electrical po...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/7/6/066009
更新日期:2010-12-01 00:00:00
abstract:OBJECTIVE:For intracortical brain-machine interfaces (BMIs), action potential voltage waveforms are often sorted to separate out individual neurons. If these neurons contain independent tuning information, this process could increase BMI performance. However, the sorting of action potentials ('spikes') requires high sa...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/1/016009
更新日期:2015-02-01 00:00:00
abstract:OBJECTIVE:Microwire and Utah-style neural recording arrays are the predominant devices used for cortical neural recording, but the implanted electrodes cause a significant adverse biological response and suffer from well-studied performance degradation. Recent work has demonstrated that carbon fiber electrodes do not e...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aae8d9
更新日期:2019-02-01 00:00:00
abstract:OBJECTIVES:We aimed to develop a robotic interface capable of providing finely-tuned, multidirectional trunk assistance adjusted in real-time during unconstrained locomotion in rats and mice. APPROACH:We interfaced a large-scale robotic structure actuated in four degrees of freedom to exchangeable attachment modules e...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/2/026007
更新日期:2016-04-01 00:00:00
abstract:OBJECTIVE:The generalization and robustness of an electroencephalogram (EEG)-based system are crucial requirements in actual practices. APPROACH:To reach these goals, we propose a new EEG representation that provides a more realistic view of brain functionality by applying multi-instance (MI) framework to consider the...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab0dad
更新日期:2019-06-01 00:00:00
abstract::In this paper we propose a dual stream neural network (DSNN) for classifying arbitrary collections of functional neuroimaging signals for the purpose of brain computer interfaces (BCIs). In the DSNN the first stream is an end-to-end classifier taking raw time-dependent signals as input and generating feature identific...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abc903
更新日期:2020-11-10 00:00:00
abstract:OBJECTIVE:The aim of this paper was to characterize brain non-stationarity during an auditory oddball task in schizophrenia (SCH). The level of non-stationarity was measured in the baseline and response windows of relevant tones in SCH patients and healthy controls. APPROACH:Event-related potentials were recorded from...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa6e05
更新日期:2017-08-01 00:00:00
abstract:OBJECTIVE:Contemporary deep brain stimulation (DBS) for Parkinson's disease is delivered continuously, and adjustments based on patient's changing symptoms must be made manually by a trained clinician. Patients may be subjected to energy intensive settings at times when they are not needed, possibly resulting in stimul...
journal_title:Journal of neural engineering
pub_type: 临床试验,杂志文章
doi:10.1088/1741-2552/aabc9b
更新日期:2018-08-01 00:00:00
abstract:OBJECTIVE:Among electrophysiological signals, local field potentials (LFPs) are extensively used to study brain activity, either in vivo or in vitro. LFPs are recorded with extracellular electrodes implanted in brain tissue. They reflect intermingled excitatory and inhibitory processes in neuronal assemblies. In cortic...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aafbfb
更新日期:2019-04-01 00:00:00