Effectiveness of Serious Games for Leap Motion on the Functionality of the Upper Limb in Parkinson's Disease: A Feasibility Study.

abstract：:The effect of emotion on prospective memory on those of different age groups and its neural mechanism in Chinese adults are still unclear. The present study investigated the effect of emotion on prospective memory during the encoding and retrieval phases in younger and older adults by using event-related potentials (E...

journal_title：Computational intelligence and neuroscience

authors： Xian J,Wang Y,Han B

更新日期：2020-09-21 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：:In recent years, ensemble classification methods have been widely investigated in both industry and literature in the field of machine learning and artificial intelligence. The main advantage of this approach is to benefit from a set of classifiers instead of using a single classifier with the aim of improving the pre...

journal_title：Computational intelligence and neuroscience

authors： Ostvar N,Eftekhari Moghadam AM

更新日期：2020-12-14 00:00:00

abstract：:As one of the most important urban commuter transportation modes, urban rail transit (URT) has been acting as a key solution for supporting mobility needs in high-density urban areas. However, in recent years, high frequency of unexpected events has caused serious service disruptions in URT system, greatly harming pas...

journal_title：Computational intelligence and neuroscience

authors： Wang Y,Yan X,Zhou Y,Wang J,Chen S

更新日期：2014-01-01 00:00:00

abstract：:Grounded language acquisition is an important issue, particularly to facilitate human-robot interactions in an intelligent and effective way. The evolutionary and developmental language acquisition are two innovative and important methodologies for the grounding of language in cognitive agents or robots, the aim of wh...

journal_title：Computational intelligence and neuroscience

authors： Rasheed N,Amin SH

更新日期：2016-01-01 00:00:00

abstract：:This paper proposes a method to translate human EEG into music, so as to represent mental state by music. The arousal levels of the brain mental state and music emotion are implicitly used as the bridge between the mind world and the music. The arousal level of the brain is based on the EEG features extracted mainly b...

journal_title：Computational intelligence and neuroscience

authors： Wu D,Li C,Yin Y,Zhou C,Yao D

更新日期：2010-01-01 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：:Nowadays the neuroscientific community is taking more and more advantage of the continuous interaction between engineers and computational neuroscientists in order to develop neuroprostheses aimed at replacing damaged brain areas with artificial devices. To this end, a technological effort is required to develop neura...

journal_title：Computational intelligence and neuroscience

authors： Breschi GL,Ciliberto C,Nieus T,Rosasco L,Taverna S,Chiappalone M,Pasquale V

更新日期：2015-01-01 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：:When some attributes of a formal context can be decomposed into some subattributes a model of layered concept lattice to improve the efficiency of building concept lattice with complex structure attribute data is studied, the relationship between concept lattice and layered concept is discussed. Two algorithms are pro...

journal_title：Computational intelligence and neuroscience

authors： Wu X,Zhang J,Zhong J

更新日期：2020-06-11 00:00:00

abstract：:We propose to couple the R2 performance measure and Particle Swarm Optimization in order to handle multi/many-objective problems. Our proposal shows that through a well-designed interaction process we could maintain the metaheuristic almost inalterable and through the R2 performance measure we did not use neither an e...

journal_title：Computational intelligence and neuroscience

authors： Díaz-Manríquez A,Toscano G,Barron-Zambrano JH,Tello-Leal E

更新日期：2016-01-01 00:00:00

abstract：:To study the relationship between brain network and shooting performance during shooting aiming, we collected electroencephalogram (EEG) signals from 40 skilled shooters during rifle shooting and calculated the EEG functional coupling, functional brain network topology, and correlation coefficients between these EEG c...

journal_title：Computational intelligence and neuroscience

authors： Gong A,Liu J,Jiang C,Fu Y

更新日期：2018-11-11 00:00:00

abstract：:Traffic congestion at bus bays has decreased the service efficiency of public transit seriously in China, so it is crucial to systematically study its theory and methods. However, the existing studies lack theoretical model on computing efficiency. Therefore, the calculation models of bus delay at bays are studied. Fi...

journal_title：Computational intelligence and neuroscience

authors： Sun F,Sun L,Sun SW,Wang DH

更新日期：2015-01-01 00:00:00

abstract：:Energy consumption forecasting (ECF) is an important policy issue in today's economies. An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs. The paper proposes a semantic based genetic programming framework to address the ECF problem. In par...

journal_title：Computational intelligence and neuroscience

authors： Castelli M,Trujillo L,Vanneschi L

更新日期：2015-01-01 00:00:00

abstract：:This paper brings forth a learning-based visual saliency model method for detecting diagnostic diabetic macular edema (DME) regions of interest (RoIs) in retinal image. The method introduces the cognitive process of visual selection of relevant regions that arises during an ophthalmologist's image examination. To reco...

journal_title：Computational intelligence and neuroscience

authors： Zou X,Zhao X,Yang Y,Li N

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

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

更新日期：2007-01-01 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：:In view of the evaluation and decision-making problem of human-machine interface layout design for cabin, the operating comfort prediction model is proposed based on GEP (Gene Expression Programming), using operating comfort to evaluate layout scheme. Through joint angles to describe operating posture of upper limb, t...

journal_title：Computational intelligence and neuroscience

authors： Deng L,Wang G,Chen B

更新日期：2015-01-01 00:00:00

abstract：:Lithium-ion batteries are widely used in many electronic systems. Therefore, it is significantly important to estimate the lithium-ion battery's remaining useful life (RUL), yet very difficult. One important reason is that the measured battery capacity data are often subject to the different levels of noise pollution....

journal_title：Computational intelligence and neuroscience

authors： Zhang C,He Y,Yuan L,Xiang S,Wang J

更新日期：2015-01-01 00:00:00

abstract：:The modification by polymers and nanomaterials can significantly improve different properties of asphalt. However, during the service life, the oxidation affects the constituents of modified asphalt and subsequently results in deviation from the desired properties. One of the important properties affected due to oxida...

journal_title：Computational intelligence and neuroscience

authors： Arifuzzaman M,Gazder U,Alam MS,Sirin O,Mamun AA

更新日期：2019-08-15 00:00:00

abstract：:With stereoscopic displays a sensation of depth that is too strong could impede visual comfort and may result in fatigue or pain. We used Electroencephalography (EEG) to develop a novel brain-computer interface that monitors users' states in order to reduce visual strain. We present the first system that discriminates...

journal_title：Computational intelligence and neuroscience

authors： Frey J,Appriou A,Lotte F,Hachet M

更新日期：2016-01-01 00:00:00

abstract：:An artificial neural network (ANN), adaptive neurofuzzy inference system (ANFIS) models, and fuzzy rule-based system (FRBS) models are developed to predict the attendance demand in European football games, in this paper. To determine the most successful method, each of the methods is analyzed under different situation...

journal_title：Computational intelligence and neuroscience

authors： Şahin M,Erol R

更新日期：2018-08-07 00:00:00

abstract：:Transportation is an important link in the mining process, and large trucks are one of the important tools for mine transportation. Due to their large size and small driving position, large trucks have a blind spot, which is a hidden danger to the safe transportation of mines and has a great impact on production effic...

journal_title：Computational intelligence and neuroscience

authors： Xiao D,Li H,Liu C,He Q

更新日期：2019-10-13 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：:A gaze estimation system is one of the communication methods for severely disabled people who cannot perform gestures and speech. We previously developed an eye tracking method using a compact and light electrooculogram (EOG) signal, but its accuracy is not very high. In the present study, we conducted experiments to ...

journal_title：Computational intelligence and neuroscience

authors： Sakurai K,Yan M,Tanno K,Tamura H

更新日期：2017-01-01 00:00:00

abstract：:The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing...

journal_title：Computational intelligence and neuroscience

authors： El-Banna M

更新日期：2017-01-01 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：: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

authors： Visani E,Minati L,Canafoglia L,Gilioli I,Salvatoni L,Varotto G,Fazio P,Aquino D,Bruzzone MG,Franceschetti S,Panzica F

更新日期：2010-01-01 00:00:00

abstract：:Diabetic retinopathy (DR) is an eye disease that damages the blood vessels of the eye. DR causes blurred vision or it may lead to blindness if it is not detected in early stages. DR has five stages, i.e., 0 normal, 1 mild, 2 moderate, 3 severe, and 4 PDR. Conventionally, many hand-on projects of computer vision have b...

journal_title：Computational intelligence and neuroscience

authors： Jinfeng G,Qummar S,Junming Z,Ruxian Y,Khan FG

更新日期：2020-12-09 00:00:00

abstract：:Detection of lane-change behaviour is critical to driving safety, especially on highways. In this paper, we proposed a method and designed a learning-based detection model of lane-change behaviour in highway environment, which only needs the vehicle to be equipped with velocity and direction sensors or each section of...

journal_title：Computational intelligence and neuroscience

authors： Du L,Chen W,Pei Z,Zheng H,Fu S,Chen K,Wu D

更新日期：2020-09-30 00:00:00