Comparison of classification methods for P300 brain-computer interface on disabled subjects.

abstract：:Most existing brain-computer interfaces (BCIs) detect specific mental activity in a so-called synchronous paradigm. Unlike synchronous systems which are operational at specific system-defined periods, self-paced (asynchronous) interfaces have the advantage of being operational at all times. The low-frequency asynchron...

journal_title：Computational intelligence and neuroscience

authors： Bashashati A,Ward RK,Birch GE

更新日期：2007-01-01 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

authors： Liu Y,Li Y,Jin F

更新日期：2017-01-01 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

authors： Lan T,Erdogmus D,Adami A,Mathan S,Pavel M

更新日期：2007-01-01 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

authors： Cao J,Wu C,Chen L,Cui H,Feng G

更新日期：2019-07-04 00:00:00

abstract：:Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors) encounter previously defined and undefined faults under operation. It may inevitably lead to the interrupti...

journal_title：Computational intelligence and neuroscience

authors： Şimşir M,Bayır R,Uyaroğlu Y

更新日期：2016-01-01 00:00:00

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...

journal_title：Computational intelligence and neuroscience

authors： Chen Z,Ohara S,Cao J,Vialatte F,Lenz FA,Cichocki A

更新日期：2007-01-01 00:00:00

abstract：:Deep learning models have been successfully applied to the analysis of various functional MRI data. Convolutional neural networks (CNN), a class of deep neural networks, have been found to excel at extracting local meaningful features based on their shared-weights architecture and space invariance characteristics. In ...

journal_title：Computational intelligence and neuroscience

authors： Hu J,Kuang Y,Liao B,Cao L,Dong S,Li P

更新日期：2019-12-31 00:00:00

abstract：:It is well known that the evaluation of a product from the shelf considers the simultaneous cerebral and emotional evaluation of the different qualities of the product such as its colour, the eventual images shown, and the envelope's texture (hereafter all included in the term "product experience"). However, the measu...

journal_title：Computational intelligence and neuroscience

authors： Modica E,Cartocci G,Rossi D,Martinez Levy AC,Cherubino P,Maglione AG,Di Flumeri G,Mancini M,Montanari M,Perrotta D,Di Feo P,Vozzi A,Ronca V,Aricò P,Babiloni F

更新日期：2018-09-24 00:00:00

abstract：:Topological indices are indispensable tools for analyzing networks to understand the underlying topology of these networks. Spiking neural network architecture (SpiNNaker or TSNN) is a million-core calculating engine which aims at simulating the behavior of aggregates of up to a billion neurons in real time. Tickysim ...

journal_title：Computational intelligence and neuroscience

authors： Cancan M

更新日期：2019-06-02 00:00:00

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

authors： Geng T,Gan JQ,Dyson M,Tsui CS,Sepulveda F

更新日期：2008-01-01 00:00:00

abstract：:Neurodegenerative diseases that affect serious gait abnormalities include Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and Huntington disease (HD). These diseases lead to gait rhythm distortion that can be determined by stride time interval of footfall contact times. In this paper, we present a new m...

journal_title：Computational intelligence and neuroscience

authors： Klomsae A,Auephanwiriyakul S,Theera-Umpon N

更新日期：2018-06-13 00:00:00

abstract：:Simulated annealing (SA) algorithm is a popular intelligent optimization algorithm which has been successfully applied in many fields. Parameters' setting is a key factor for its performance, but it is also a tedious work. To simplify parameters setting, we present a list-based simulated annealing (LBSA) algorithm to ...

journal_title：Computational intelligence and neuroscience

authors： Zhan SH,Lin J,Zhang ZJ,Zhong YW

更新日期：2016-01-01 00:00:00

abstract：:We estimate cortical activity in normal subjects during the observation of TV commercials inserted within a movie by using high-resolution EEG techniques. The brain activity was evaluated in both time and frequency domains by solving the associate inverse problem of EEG with the use of realistic head models. In partic...

journal_title：Computational intelligence and neuroscience

authors： Astolfi L,Vecchiato G,De Vico Fallani F,Salinari S,Cincotti F,Aloise F,Mattia D,Marciani MG,Bianchi L,Soranzo R,Babiloni F

更新日期：2009-01-01 00:00:00

abstract：:Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem. Sparse coding has significant success in signal denoising and EPs have been proven to have strong sparsity over an appropriate dictionary. In sparse coding, the noise gen...

journal_title：Computational intelligence and neuroscience

authors： Yu N,Chen Y,Wu L,Lu H

更新日期：2018-03-22 00:00:00

abstract：:The integration of machine learning techniques and metaheuristic algorithms is an area of interest due to the great potential for applications. In particular, using these hybrid techniques to solve combinatorial optimization problems (COPs) to improve the quality of the solutions and convergence times is of great inte...

journal_title：Computational intelligence and neuroscience

authors： García J,Moraga P,Valenzuela M,Crawford B,Soto R,Pinto H,Peña A,Altimiras F,Astorga G

更新日期：2019-09-16 00:00:00

abstract：:We propose a novel efficient algorithm for computing visual saliency, which is based on the computation architecture of Itti model. As one of well-known bottom-up visual saliency models, Itti method evaluates three low-level features, color, intensity, and orientation, and then generates multiscale activation maps. Fi...

journal_title：Computational intelligence and neuroscience

authors： He Z,Chen X,Sun L

更新日期：2015-01-01 00:00:00

abstract：:Software effort estimation plays a critical role in project management. Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic consequences on project resources. Machine-learning techniques are increasingly popular in the field. Fuzzy logic models, in particular, are widely...

journal_title：Computational intelligence and neuroscience

authors： Nassif AB,Azzeh M,Idri A,Abran A

更新日期：2019-02-20 00:00:00

abstract：:Human intrinsic motivation is of great importance in human behavior. However, although researchers have focused on this topic for decades, its neural basis was still unclear. The current study employed event-related potentials to investigate the neural disparity between an interesting stop-watch (SW) task and a boring...

journal_title：Computational intelligence and neuroscience

authors： Jin J,Yu L,Ma Q

更新日期：2015-01-01 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

authors： Liu K,Wang H,Xiao J,Taha Z

更新日期：2015-01-01 00:00:00

abstract：:Cat Swarm Optimization (CSO) algorithm was put forward in 2006. Despite a faster convergence speed compared with Particle Swarm Optimization (PSO) algorithm, the application of CSO is greatly limited by the drawback of "premature convergence," that is, the possibility of trapping in local optimum when dealing with non...

journal_title：Computational intelligence and neuroscience

authors： Nie X,Wang W,Nie H

更新日期：2017-01-01 00:00:00

abstract：:Rehabilitation training is essential for motor dysfunction patients, and the training through their subjective motion intention, comparing to passive training, is more conducive to rehabilitation. This study proposes a method to identify motion intention of different walking states under the normal environment, by usi...

journal_title：Computational intelligence and neuroscience

authors： Jin H,Li C,Xu J

更新日期：2018-10-17 00:00:00

abstract：:The emergent consensus on dimensional models of sentiment, appraisal, emotions, and values is on the semantics of the principal dimensions, typically interpreted as valence, arousal, and dominance. The notion of weak semantic maps was introduced recently as distribution of representations in abstract spaces that are n...

journal_title：Computational intelligence and neuroscience

authors： Samsonovich AV,Ascoli GA

更新日期：2013-01-01 00:00:00

abstract：:This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal performs the SNN design by exploring the search space of three-layere...

journal_title：Computational intelligence and neuroscience

authors： López-Vázquez G,Ornelas-Rodriguez M,Espinal A,Soria-Alcaraz JA,Rojas-Domínguez A,Puga-Soberanes HJ,Carpio JM,Rostro-Gonzalez H

更新日期：2019-03-28 00:00:00

abstract：:This paper proposes an artificial immune network based on cloud model (AINet-CM) for complex function optimization problems. Three key immune operators-cloning, mutation, and suppression-are redesigned with the help of the cloud model. To be specific, an increasing half cloud-based cloning operator is used to adjust t...

journal_title：Computational intelligence and neuroscience

authors： Wang M,Feng S,Li J,Li Z,Xue Y,Guo D

更新日期：2017-01-01 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

authors： Tamura S,Miyoshi T,Sawai H,Mizuno-Matsumoto Y

更新日期：2012-01-01 00:00:00

abstract：:The process of creating nonphotorealistic rendering images and animations can be enjoyable if a useful method is involved. We use an evolutionary algorithm to generate painterly styles of images. Given an input image as the reference target, a cloud model-based evolutionary algorithm that will rerender the target imag...

journal_title：Computational intelligence and neuroscience

authors： Wu T

更新日期：2018-02-19 00:00:00

abstract：:Ant Colony Optimization (ACO) has been successfully applied to solve a wide range of combinatorial optimization problems such as minimum spanning tree, traveling salesman problem, and quadratic assignment problem. Basic ACO has drawbacks of trapping into local minimum and low convergence rate. Simulated annealing (SA)...

journal_title：Computational intelligence and neuroscience

authors： Mohsen AM

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

authors： Feng Y,Wang GG,Feng Q,Zhao XJ

更新日期：2014-01-01 00:00:00

abstract：:EEG-controlled gaming applications range widely from strictly medical to completely nonmedical applications. Games can provide not only entertainment but also strong motivation for practicing, thereby achieving better control with rehabilitation system. In this paper we present real-time control of video game with eye...

journal_title：Computational intelligence and neuroscience

authors： Belkacem AN,Saetia S,Zintus-art K,Shin D,Kambara H,Yoshimura N,Berrached N,Koike Y

更新日期：2015-01-01 00:00:00

abstract：:In specific regions of the central nervous system (CNS), gap junctions have been shown to participate in neuronal synchrony. Amongst the CNS regions identified, some populations of brainstem motoneurons are known to be coupled by gap junctions. The application of various gap junction blockers to these motoneuron popul...

journal_title：Computational intelligence and neuroscience

authors： Memelli H,Horn KG,Wittie LD,Solomon IC

更新日期：2012-01-01 00:00:00