Abstract:
:This article is devoted to statistical modeling and analysis of electrocorticogram (ECoG) signals induced by painful cutaneous laser stimuli, which were recorded from implanted electrodes in awake humans. Specifically, with statistical tools of factor analysis and independent component analysis, the pain-induced laser-evoked potentials (LEPs) were extracted and investigated under different controlled conditions. With the help of wavelet analysis, quantitative and qualitative analyses were conducted regarding the LEPs' attributes of power, amplitude, and latency, in both averaging and single-trial experiments. Statistical hypothesis tests were also applied in various experimental setups. Experimental results reported herein also confirm previous findings in the neurophysiology literature. In addition, single-trial analysis has also revealed many new observations that might be interesting to the neuroscientists or clinical neurophysiologists. These promising results show convincing validation that advanced signal processing and statistical analysis may open new avenues for future studies of such ECoG or other relevant biomedical recordings.
journal_name
Comput Intell Neuroscijournal_title
Computational intelligence and neuroscienceauthors
Chen Z,Ohara S,Cao J,Vialatte F,Lenz FA,Cichocki Adoi
10.1155/2007/10479subject
Has Abstractpub_date
2007-01-01 00:00:00pages
10479eissn
1687-5265issn
1687-5273pub_type
杂志文章abstract::A novel 4-class single-trial brain computer interface (BCI) based on two (rather than four or more) binary linear discriminant analysis (LDA) classifiers is proposed, which is called a "parallel BCI." Unlike other BCIs where mental tasks are executed and classified in a serial way one after another, the parallel BCI u...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2008/437306
更新日期:2008-01-01 00:00:00
abstract::Object tracking based on sparse representation has given promising tracking results in recent years. However, the trackers under the framework of sparse representation always overemphasize the sparse representation and ignore the correlation of visual information. In addition, the sparse coding methods only encode the...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2016/5894639
更新日期:2016-01-01 00:00:00
abstract::An effective hybrid cuckoo search algorithm (CS) with improved shuffled frog-leaping algorithm (ISFLA) is put forward for solving 0-1 knapsack problem. First of all, with the framework of SFLA, an improved frog-leap operator is designed with the effect of the global optimal information on the frog leaping and informat...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2014/857254
更新日期:2014-01-01 00:00:00
abstract::The purpose of this research is to analyse the relationship between nonlinear dynamic character and individuals' standing balance by the largest Lyapunov exponent, which is regarded as a metric for assessing standing balance. According to previous study, the largest Lyapunov exponent from centre of pressure time serie...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2015/158478
更新日期:2015-01-01 00:00:00
abstract::The state observer for dynamic links in complex dynamical networks (CDNs) is investigated by using the adaptive method whether the networks are undirected or directed. In this paper, a complete network model is proposed, which is composed of two coupled subsystems called nodes subsystem and links subsystem, respective...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2020/8846438
更新日期:2020-10-21 00:00:00
abstract::Characterization of air traffic controllers' (ATCs') visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize ...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2016/8343842
更新日期:2016-01-01 00:00:00
abstract::Cloud workflow system is a kind of platform service based on cloud computing. It facilitates the automation of workflow applications. Between cloud workflow system and its counterparts, market-oriented business model is one of the most prominent factors. The optimization of task-level scheduling in cloud workflow syst...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2015/718689
更新日期:2015-01-01 00:00:00
abstract::We performed simultaneous acquisition of EEG-fMRI in seven patients with Unverricht-Lundborg disease (ULD) and in six healthy controls using self-paced finger extension as a motor task. The event-related desynchronization/synchronization (ERD/ERS) analysis showed a greater and more diffuse alpha desynchronization in c...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2010/164278
更新日期:2010-01-01 00:00:00
abstract::An integration of both the Hebbian-based and reinforcement learning (RL) rules is presented for dynamic synapses. The proposed framework permits the Hebbian rule to update the hidden synaptic model parameters regulating the synaptic response rather than the synaptic weights. This is performed using both the value and ...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2011/869348
更新日期:2011-01-01 00:00:00
abstract::We report on tests with a mind typing paradigm based on a P300 brain-computer interface (BCI) on a group of amyotrophic lateral sclerosis (ALS), middle cerebral artery (MCA) stroke, and subarachnoid hemorrhage (SAH) patients, suffering from motor and speech disabilities. We investigate the achieved typing accuracy giv...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2011/519868
更新日期:2011-01-01 00:00:00
abstract::Ways to estimate the time-to-collision are explored. In the context of traffic simulation models, classical lane-based notions of vehicle location are relaxed and new, fast, and efficient algorithms are examined. With trajectory conflicts being the main focus, computational procedures are explored which use a two-dime...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2014/761047
更新日期:2014-01-01 00:00:00
abstract::We present a multistage fuzzy rule-based algorithm for epileptic seizure onset detection. Amplitude, frequency, and entropy-based features were extracted from intracranial electroencephalogram (iEEG) recordings and considered as the inputs for a fuzzy system. These features extracted from multichannel iEEG signals wer...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2012/705140
更新日期:2012-01-01 00:00:00
abstract::The inversion design approach is a very useful tool for the complex multiple-input-multiple-output nonlinear systems to implement the decoupling control goal, such as the airplane model and spacecraft model. In this work, the flight control law is proposed using the neural-based inversion design method associated with...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2017/8575703
更新日期:2017-01-01 00:00:00
abstract::Schizophrenia is a chronic mental disease that usually manifests psychotic symptoms and affects an individual's functionality. The stigma related to this disease is a serious obstacle for an adequate approach to its treatment. Stigma can, for example, delay the start of treatment, and it creates difficulties in interp...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2017/2721846
更新日期:2017-01-01 00:00:00
abstract::This paper investigated the interregional correlation changed by sport training through electroencephalography (EEG) signals using the techniques of classification and feature selection. The EEG data are obtained from students with long-time professional sport training and normal students without sport training as bas...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2016/6184823
更新日期:2016-01-01 00:00:00
abstract::Every energy system which we consider is an entity by itself, defined by parameters which are interrelated according to some physical laws. In recent year tremendous importance is given in research on site selection in an imprecise environment. In this context, decision making for the suitable location of power plant ...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2017/4152140
更新日期:2017-01-01 00:00:00
abstract::The rapid development of the automotive industry has brought great convenience to our life, which also leads to a dramatic increase in the amount of traffic accidents. A large proportion of traffic accidents were caused by driving fatigue. EEG is considered as a direct, effective, and promising modality to detect driv...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2019/4721863
更新日期:2019-07-14 00:00:00
abstract::Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2016/9845816
更新日期:2016-01-01 00:00:00
abstract::We present an ambulatory cognitive state classification system to assess the subject's mental load based on EEG measurements. The ambulatory cognitive state estimator is utilized in the context of a real-time augmented cognition (AugCog) system that aims to enhance the cognitive performance of a human user through com...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2007/74895
更新日期:2007-01-01 00:00:00
abstract::The neural autoregressive distribution estimator(NADE) is a competitive model for the task of density estimation in the field of machine learning. While NADE mainly focuses on the problem of estimating density, the ability for dealing with other tasks remains to be improved. In this paper, we introduce a simple and ef...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2018/6401645
更新日期:2018-12-23 00:00:00
abstract::When analyzing neuron spike trains, it is always the problem of how to set the time bin. Bin width affects much to analyzed results of such as periodicity of the spike trains. Many approaches have been proposed to determine the bin setting. However, these bins are fixed through the analysis. In this paper, we propose ...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2012/153496
更新日期:2012-01-01 00:00:00
abstract::This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. The material consists of 1...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2015/735060
更新日期:2015-01-01 00:00:00
abstract::Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve this problem, a multiclass posterior probability solution for twin SV...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2015/251945
更新日期:2015-01-01 00:00:00
abstract::Rotation Forest is an ensemble learning approach achieving better performance comparing to Bagging and Boosting through building accurate and diverse classifiers using rotated feature space. However, like other conventional classifiers, Rotation Forest does not work well on the imbalanced data which are characterized ...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2018/6798042
更新日期:2018-11-01 00:00:00
abstract::The brain-computer interface (BCI) plays an important role in assisting patients with amyotrophic lateral sclerosis (ALS) to enable them to participate in communication and entertainment. In this study, a novel channel projection-based canonical correlation analysis (CP-CCA) target identification method for steady-sta...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2019/2361282
更新日期:2019-12-16 00:00:00
abstract::In today's society, image resources are everywhere, and the number of available images can be overwhelming. Determining how to rapidly and effectively query, retrieve, and organize image information has become a popular research topic, and automatic image annotation is the key to text-based image retrieval. If the sem...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2019/2060796
更新日期:2019-07-04 00:00:00
abstract::Brain atrophy in mild cognitive impairment (MCI) and Alzheimer's disease (AD) are difficult to demarcate to assess the progression of AD. This study presents a statistical framework on the basis of MRI volumes and neuropsychological scores. A feature selection technique using backward stepwise linear regression togeth...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2015/865265
更新日期:2015-01-01 00:00:00
abstract::Equipment parallel simulation is an emerging simulation technology in recent years, and equipment remaining useful life (RUL) prediction oriented parallel simulation is an important branch of parallel simulation. An important concept in equipment parallel simulation is the model evolution driven by real-time data, inc...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2019/9179870
更新日期:2019-03-12 00:00:00
abstract::Network embedding (NE), which maps nodes into a low-dimensional latent Euclidean space to represent effective features of each node in the network, has obtained considerable attention in recent years. Many popular NE methods, such as DeepWalk, Node2vec, and LINE, are capable of handling homogeneous networks. However, ...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2019/8106073
更新日期:2019-08-21 00:00:00
abstract::The paper addresses the context in which the construction industry is considered risky, as the intense labor and machine environment interacts with acceleration and overlapping activities. This situation results in accidents and fatalities. A high number of accidents and fatalities leads to additional costs and delays...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2020/2610306
更新日期:2020-02-25 00:00:00