Brain-computer interface based on intermodulation frequency.

abstract：OBJECTIVE:Visual prostheses are designed to restore partial functional vision in patients with total vision loss. Retinal visual prostheses provide limited capabilities as a result of low resolution, limited field of view and poor dynamic range. Understanding the influence of these parameters in the perception results ...

journal_title：Journal of neural engineering

authors： Sanchez-Garcia M,Martinez-Cantin R,Bermudez-Cameo J,Guerrero JJ

更新日期：2020-10-08 00:00:00

abstract：OBJECTIVE:Due to their increased proximity to retinal ganglion cells (RGCs), epiretinal visual prostheses present the opportunity for eliciting phosphenes with low thresholds through direct RGC activation. This study characterised the in vivo performance of a novel prototype monolithic epiretinal prosthesis, containing...

journal_title：Journal of neural engineering

authors： Shivdasani MN,Evans M,Burns O,Yeoh J,Allen PJ,Nayagam DAX,Villalobos J,Abbott CJ,Luu CD,Opie NL,Sabu A,Saunders AL,McPhedran M,Cardamone L,McGowan C,Maxim V,Williams RA,Fox KE,Cicione R,Garrett DJ,Ahnood A,Ganes

更新日期：2020-08-05 00:00:00

abstract：OBJECTIVE:Real-time closed-loop neural feedback control requires the analysis of action potential traces within several milliseconds after they have been recorded from the brain. The current generation of spike clustering algorithms were mostly designed for off-line use and also require a significant amount of computat...

journal_title：Journal of neural engineering

authors： Mohammadi Z,Kincaid JM,Pun SH,Klug A,Liu C,Lei TC

更新日期：2019-07-30 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

authors： Christie BP,Tat DM,Irwin ZT,Gilja V,Nuyujukian P,Foster JD,Ryu SI,Shenoy KV,Thompson DE,Chestek CA

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

authors： Massey TL,Santacruz SR,Hou JF,Pister KSJ,Carmena JM,Maharbiz MM

更新日期：2019-02-01 00:00:00

abstract：:This paper presents a wheelchair navigation system based on a hidden Markov model (HMM), which we developed to assist those with restricted mobility. The semi-autonomous system is equipped with obstacle/collision avoidance sensors and it takes the electrooculography (EOG) signal traces from the user as commands to man...

journal_title：Journal of neural engineering

authors： Aziz F,Arof H,Mokhtar N,Mubin M

更新日期：2014-10-01 00:00:00

abstract：:Alzheimer's disease (AD) is the most common cause of dementia. Over the last few years, a considerable effort has been devoted to exploring new biomarkers. Nevertheless, a better understanding of brain dynamics is still required to optimize therapeutic strategies. In this regard, the characterization of mild cognitive...

journal_title：Journal of neural engineering

authors： Bruña R,Poza J,Gómez C,García M,Fernández A,Hornero R

更新日期：2012-06-01 00:00:00

abstract：:This comment constitutes a re-assessment of a recent study in which near-infrared spectroscopy (NIRS) was used to decode decision making. In the original study, the process of feature selection was carried out on all of the data, and those features which displayed the greater classification accuracy were selected, but...

journal_title：Journal of neural engineering

authors： Dominguez LG

更新日期：2009-10-01 00:00:00

abstract：:Adaptive model theory (AMT) is a computational theory that addresses the difficult control problem posed by the musculoskeletal system in interaction with the environment. It proposes that the nervous system creates motor maps and task-dependent synergies to solve the problems of redundancy and limited central resourc...

journal_title：Journal of neural engineering

authors： Neilson PD,Neilson MD

更新日期：2005-09-01 00:00:00

abstract：OBJECTIVE:Depression is a severe mental disorder. However, the neural mechanisms underlying affective interference (difficulties in directing attention away from negative distractors) in depression patients are still not well-understood. In particular, the connections between brain regions remain unclear. Using the emo...

journal_title：Journal of neural engineering

authors： Guo Z,Wu X,Liu J,Yao L,Hu B

更新日期：2018-10-01 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

authors： von Zitzewitz J,Asboth L,Fumeaux N,Hasse A,Baud L,Vallery H,Courtine G

更新日期：2016-04-01 00:00:00

abstract：OBJECTIVE:Powered robotic prostheses create a need for natural-feeling user interfaces and robust control schemes. Here, we examined the ability of a nonlinear autoregressive model to continuously map the kinematics of a transtibial prosthesis and electromyographic (EMG) activity recorded within socket to the future es...

journal_title：Journal of neural engineering

authors： Farmer S,Silver-Thorn S,Voglewede P,Beardsley SA

更新日期：2014-10-01 00:00:00

abstract：OBJECTIVE:Given the rapid expansion of the field of neural stimulation and the rigorous regulatory approval requirements required before these devices can be applied clinically, it is important that there is clarity around conducting preclinical safety and efficacy studies required for the development of this technolog...

journal_title：Journal of neural engineering

authors： Shepherd RK,Villalobos J,Burns O,Nayagam DAX

更新日期：2018-08-01 00:00:00

abstract：:In this work the application of different machine learning techniques for classification of mental tasks from electroencephalograph (EEG) signals is investigated. The main application for this research is the improvement of brain computer interface (BCI) systems. For this purpose, Bayesian graphical network, neural ne...

journal_title：Journal of neural engineering

authors： Rezaei S,Tavakolian K,Nasrabadi AM,Setarehdan SK

更新日期：2006-06-01 00:00:00

abstract：OBJECTIVE:Many physical models of biological processes including neural systems are characterized by parametric nonlinear dynamical relations between driving inputs, internal states, and measured outputs of the process. Fitting such models using experimental data (data assimilation) is a challenging task since the phys...

journal_title：Journal of neural engineering

authors： Madi MK,Karameh FN

更新日期：2018-08-01 00:00:00

abstract：OBJECTIVE:Brains, like other physical devices, are inherently noisy. This source of variability is large, to the extent that internal noise often impacts human sensory processing more than externally induced (stimulus-driven) perturbations. Despite the fundamental nature of this phenomenon, its statistical distribution...

journal_title：Journal of neural engineering

authors： Neri P

更新日期：2013-02-01 00:00:00

abstract：OBJECTIVE:In electroencephalographic (EEG) data, signals from distinct sources within the brain are widely spread by volume conduction and superimposed such that sensors receive mixtures of a multitude of signals. This reduction of spatial information strongly hampers single-trial analysis of EEG data as, for example, ...

journal_title：Journal of neural engineering

authors： Sannelli C,Vidaurre C,Müller KR,Blankertz B

更新日期：2016-08-01 00:00:00

abstract：OBJECTIVE:We consider the problem of optimal probing to learn connections in an evoked dynamic network. Such a network, in which each edge measures an input-output relationship between sites in sensor/actuator-space, is relevant to emerging applications in neural mapping and neural connectivity estimation. APPROACH:We...

journal_title：Journal of neural engineering

authors： Kafashan M,Ching S

更新日期：2015-12-01 00:00:00

abstract：:Extracellular metal microelectrodes are widely used to record single neuron activity in vivo. However, their signal-to-noise ratio (SNR) is often far from optimal due to their high impedance value. It has been recently reported that carbon nanotube (CNT) coatings may decrease microelectrode impedance, thus improving t...

journal_title：Journal of neural engineering

authors： Baranauskas G,Maggiolini E,Castagnola E,Ansaldo A,Mazzoni A,Angotzi GN,Vato A,Ricci D,Panzeri S,Fadiga L

更新日期：2011-12-01 00:00:00

abstract：OBJECTIVE:Filter bank canonical correlation analysis (FBCCA) is a widely-used classification approach implemented in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). However, conventional detection algorithms for SSVEP recognition problems, including the FBCCA, were usually based on ...

journal_title：Journal of neural engineering

authors： Chen Y,Yang C,Chen X,Wang Y,Gao X

更新日期：2020-05-07 00:00:00

abstract：OBJECTIVE:Resting state functional connectivity (RSFC) allows the study of functional organization in normal and diseased brain by measuring the spontaneous brain activity generated under resting conditions. Intrinsic optical signal imaging (IOSI) based on multiple illumination wavelengths has been used successfully to...

journal_title：Journal of neural engineering

authors： Kura S,Xie H,Fu B,Ayata C,Boas DA,Sakadžić S

更新日期：2018-06-01 00:00:00

abstract：OBJECTIVE:Neuromusculoskeletal models involve many subject-specific physiological parameters that need to be adjusted to adequately represent muscle properties. Traditionally, neuromusculoskeletal models have been calibrated with a forward-inverse dynamic optimization which is time-consuming and unfeasible for rehabili...

journal_title：Journal of neural engineering

authors： Bueno DR,Montano L

更新日期：2017-04-01 00:00:00

abstract：:Growing neurons navigate complex environments, but in vitro systems for studying neuronal growth typically limit the cues to flat surfaces or a single type of cue, thereby limiting the resulting growth. Here we examined the growth of neurons presented with two-dimensional (2D) substrate-bound cues when these cues were...

journal_title：Journal of neural engineering

authors： Kofron CM,Fong VJ,Hoffman-Kim D

更新日期：2009-02-01 00:00:00

abstract：OBJECTIVE:Stability and selectivity are important when restoring long-term, functional sensory feedback in individuals with limb-loss. Our objective is to demonstrate a chronic, clinical neural stimulation system for providing selective sensory response in two upper-limb amputees. APPROACH:Multi-contact cuff electrode...

journal_title：Journal of neural engineering

authors： Tan DW,Schiefer MA,Keith MW,Anderson JR,Tyler DJ

更新日期：2015-04-01 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

authors： Lührs M,Sorger B,Goebel R,Esposito F

更新日期：2017-02-01 00:00:00

abstract：OBJECTIVE:Low-intensity focused ultrasound stimulation (LIFUS) emerges as an attracting technology for noninvasive modulation of neural circuits, yet the underlying action mechanisms remain unclear. The neuronal intramembrane cavitation excitation (NICE) model suggests that LIFUS excites neurons through a complex inter...

journal_title：Journal of neural engineering

authors： Lemaire T,Neufeld E,Kuster N,Micera S

更新日期：2019-08-01 00:00:00

abstract：OBJECTIVE:This study employs a human head model with real skull to demonstrate the feasibility of transcranial acoustoelectric brain imaging (tABI) as a new modality for electrical mapping of deep dipole sources during treatment of epilepsy with much better resolution and accuracy than conventional mapping methods. AP...

journal_title：Journal of neural engineering

authors： Barragan A,Preston C,Alvarez A,Bera T,Qin Y,Weinand M,Kasoff W,Witte RS

更新日期：2020-10-30 00:00:00

abstract：OBJECTIVE:High-rate pulse trains have proven to be effective in cochlear prosthetics and, more recently, have been shown to elicit a wide range of interesting response properties in axons of the peripheral nervous system. Surprisingly, the effectiveness of such trains for use in retinal prostheses has not been explored...

journal_title：Journal of neural engineering

authors： Cai C,Twyford P,Fried S

更新日期：2013-06-01 00:00:00

abstract：:Brain-computer interface (BCI) systems allow people with severe motor disabilities to communicate and interact with the external world. The P300 potential is one of the most used control signals for EEG-based BCIs. Classic P300-based BCIs work in a synchronous mode; the synchronous control assumes that the user is con...

journal_title：Journal of neural engineering

authors： Aloise F,Schettini F,Aricò P,Leotta F,Salinari S,Mattia D,Babiloni F,Cincotti F

更新日期：2011-04-01 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

authors： Yochum M,Modolo J,Mogul DJ,Benquet P,Wendling F

更新日期：2019-04-01 00:00:00