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 resources. These lead to the adaptive formation of task-dependent feedback/feedforward controllers able to generate stable, noninteractive control and render nonlinear interactions unobservable in sensory-motor relationships. AMT offers a unified account of how the nervous system might achieve these solutions by forming internal models. This is presented as the design of a simulator consisting of neural adaptive filters based on cerebellar circuitry. It incorporates a new network module that adaptively models (in real time) nonlinear relationships between inputs with changing and uncertain spectral and amplitude probability density functions as is the case for sensory and motor signals.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Neilson PD,Neilson MDdoi
10.1088/1741-2560/2/3/S10subject
Has Abstractpub_date
2005-09-01 00:00:00pages
S279-312issue
3eissn
1741-2560issn
1741-2552pii
S1741-2560(05)94059-7journal_volume
2pub_type
杂志文章,评审abstract:OBJECTIVE:The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct line-of-view is necessary to identify objects, in the environment recog...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/1/016012
更新日期:2015-02-01 00:00:00
abstract:OBJECTIVE:The Subthalamic Nucleus (STN) is the most selected target for the placement of the Deep Brain Stimulation (DBS) electrode to treat Parkinson's disease. Its identification is a delicate and challenging task which is based on the interpretation of the STN functional activity acquired through microelectrode reco...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abcb15
更新日期:2020-11-17 00:00:00
abstract::In this work we address the use of realtime cortical recordings for the generation of coherent, reliable and robust motor activity in spinal-lesioned animals through selective intraspinal microstimulation (ISMS). The spinal cord of adult rats was hemisectioned and groups of multielectrodes were implanted in both the c...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/4/046008
更新日期:2011-08-01 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
pub_type: 杂志文章
doi:10.1088/1741-2560/8/2/025025
更新日期:2011-04-01 00:00:00
abstract:OBJECTIVE:Assessing an infant's brain development remains a challenge for neuroscientists and pediatricians despite great technological advances. As a non-invasive neuroimaging tool, functional near-infrared spectroscopy (fNIRS) has great advantages in monitoring an infant's brain activity. To explore the dynamic featu...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aae0c9
更新日期:2018-12-01 00:00:00
abstract:OBJECTIVE:In a previous study we demonstrated continuous translation, orientation and one-dimensional grasping control of a prosthetic limb (seven degrees of freedom) by a human subject with tetraplegia using a brain-machine interface (BMI). The current study, in the same subject, immediately followed the previous work...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/1/016011
更新日期:2015-02-01 00:00:00
abstract:OBJECTIVE:Analysis of intra- and perioperatively recorded cortical and basal ganglia local field potentials in human movement disorders has provided great insight into the pathophysiology of diseases such as Parkinson's, dystonia, and essential tremor. However, in order to better understand the network abnormalities an...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/11/1/016009
更新日期:2014-02-01 00:00:00
abstract:OBJECTIVE:Currently commercially available nerve conduits have demonstrated suboptimal clinical efficacy in repairing peripheral nerve defects. Although tissue-engineered nerve grafts (TENGs) with sustained release of neurotrophic factors (NTFs) are experimentally proved to be more effective than these blank conduits, ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab17a0
更新日期:2019-06-01 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
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:A primary control signal in brain-computer interfaces (BCIs) have been cortical signals related to movement. However, in cases where natural motor function remains, BCI control signals may interfere with other possibly simultaneous activity for useful ongoing movement. We sought to determine if the brain coul...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aadf3d
更新日期:2018-12-01 00:00:00
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 seve...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/5/056014
更新日期:2013-10-01 00:00:00
abstract:BACKGROUND:Electrical brain stimulation is recognized as a promising therapeutic approach for treating brain disorders such as epilepsy. However, the use of this technique is still largely empirical, since stimulation parameters and targets are chosen using a trial-and-error approach. Therefore, there is a pressing nee...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd049
更新日期:2020-12-03 00:00:00
abstract::In a recent paper by Bradberry, Gentili and Contreras-Vidal published in Journal of Neural Engineering (2011, 8 036010), an interesting method for the control of a two-dimensional mouse cursor was proposed, which apparently attained excellent control and good speed with relatively simple techniques. We believe some of...
journal_title:Journal of neural engineering
pub_type: 评论,杂志文章
doi:10.1088/1741-2560/8/5/058001
更新日期:2011-10-01 00:00:00
abstract:OBJECTIVE:The rapidly developing paradigm of closed-loop neuroscience has extensively employed brain rhythms as the signal forming real-time neurofeedback, triggering brain stimulation, or governing stimulus selection. However, the efficacy of brain rhythm contingent paradigms suffers from significant delays related to...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab890f
更新日期:2020-08-04 00:00:00
abstract::In models of electrical stimulation of the nervous system, the electric potential is typically calculated using the quasi-static approximation. The quasi-static approximation allows Maxwell's equations to be simplified by ignoring capacitive, inductive and wave propagation contributions to the potential. While this si...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/5/1/005
更新日期:2008-03-01 00:00:00
abstract::We describe a brain-computer interface for controlling a humanoid robot directly using brain signals obtained non-invasively from the scalp through electroencephalography (EEG). EEG has previously been used for tasks such as controlling a cursor and spelling a word, but it has been regarded as an unlikely candidate fo...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/5/2/012
更新日期:2008-06-01 00:00:00
abstract::We conducted an experiment to determine whether the rhythm with which imagined syllables are produced may be decoded from EEG recordings. High density EEG data were recorded for seven subjects while they produced in imagination one of two syllables in one of three different rhythms. We used a modified second-order bli...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/7/4/046006
更新日期:2010-08-01 00:00:00
abstract:OBJECTIVE:Rhythmic brain stimulation has emerged as a powerful tool to modulate cognition and to target pathological oscillations related to neurological and psychiatric disorders. However, we lack a systematic understanding of how periodic stimulation interacts with endogenous neural activity as a function of the brai...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aaeb03
更新日期:2019-02-01 00:00:00
abstract:OBJECTIVE:The use of natural sounds in auditory Brain-Computer Interfaces (BCI) has been shown to improve classification results and usability. Some auditory BCIs are based on stream segregation, in which the subjects must attend one audio stream and ignore the other(s); these streams include some kind of stimuli to be...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abdd44
更新日期:2021-01-19 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
pub_type: 杂志文章
doi:10.1088/1741-2552/ab914e
更新日期:2020-05-07 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
pub_type: 杂志文章
doi:10.1088/1741-2560/13/4/046003
更新日期:2016-08-01 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:Currently commercially available nerve conduits have demonstrated suboptimal clinical efficacy in repairing peripheral nerve defects. Although tissue-engineered nerve grafts (TENGs) with sustained release of neurotrophic factors (NTFs) are experimentally proved to be more effective than these blank conduits, ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd1ec
更新日期:2020-12-09 00:00:00
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
pub_type: 杂志文章
doi:10.1088/1741-2552/abb9be
更新日期:2020-10-08 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
pub_type: 杂志文章
doi:10.1088/1741-2560/11/5/056027
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
pub_type: 杂志文章
doi:10.1088/1741-2560/9/3/036007
更新日期:2012-06-01 00:00:00
abstract::Glutamate spillover is thought to play a significant role in increasing neural transmission at the mossy fiber/granule cell cerebellar glomerulus. Glutamate spillover has been shown to activate AMPA receptors at the glomerulus, and here we complete the characterization of spillover at the glomerulus by investigating t...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/4/3/013
更新日期:2007-09-01 00:00:00
abstract:OBJECTIVE:Functions ascribed to the hippocampal sub-regions for encoding episodic memories include the separation of activity patterns propagated from the entorhinal cortex (EC) into the dentate gyrus (DG) and pattern completion in CA3 region. Since a direct assessment of these functions is lacking at the level of spec...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aabc20
更新日期:2018-08-01 00:00:00
abstract::Brain-computer interface (BCI) systems do not work for all users. This article introduces a novel combination of tasks that could inspire BCI systems that are more accurate than conventional BCIs, especially for users who cannot attain accuracy adequate for effective communication. Subjects performed tasks typically u...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/7/2/026007
更新日期:2010-04-01 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
pub_type: 评论,杂志文章
doi:10.1088/1741-2560/6/5/058001
更新日期:2009-10-01 00:00:00