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：:The ANN method has been applied by means of multilayered feedforward neural networks (MLFNs) by using different macroeconomic variables such as the exchange rate of USD/TRY, gold prices, and the Borsa Istanbul (BIST) 100 index based on monthly data over the period of January 2000 and September 2014 for Turkey. Vector ...

journal_title：Computational intelligence and neuroscience

authors： Aydin AD,Caliskan Cavdar S

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：: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

authors： Wiktorowicz K,Przednowek K,Lassota L,Krzeszowski T

更新日期：2015-01-01 00:00:00

abstract：:Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the classification of bags comprising unlabeled instances. In this paper...

journal_title：Computational intelligence and neuroscience

authors： Wang J,Cai L,Peng J,Jia Y

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：: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：: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：: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

authors： Goryawala M,Zhou Q,Barker W,Loewenstein DA,Duara R,Adjouadi M

更新日期：2015-01-01 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：:Recent findings suggest that specific neural correlates for the key elements of basic emotions do exist and can be identified by neuroimaging techniques. In this paper, electroencephalogram (EEG) is used to explore the markers for video-induced emotions. The problem is approached from a classifier perspective: the fea...

journal_title：Computational intelligence and neuroscience

authors： Kortelainen J,Väyrynen E,Seppänen T

更新日期：2015-01-01 00:00:00

abstract：:Eye localization is a fundamental process in many facial analyses. In practical use, it is often challenged by illumination, head pose, facial expression, occlusion, and other factors. It remains great difficulty to achieve high accuracy with short prediction time and low training cost at the same time. This paper pre...

journal_title：Computational intelligence and neuroscience

authors： Li X,Dou Y,Niu X,Xu J,Xiao R

更新日期：2015-01-01 00:00:00

abstract：:We propose an improved algorithm, for a multiswarm particle swarm optimization with transfer of the best particle called BMPSO. In the proposed algorithm, we introduce parasitism into the standard particle swarm algorithm (PSO) in order to balance exploration and exploitation, as well as enhancing the capacity for glo...

journal_title：Computational intelligence and neuroscience

authors： Wei XP,Zhang JX,Zhou DS,Zhang Q

更新日期：2015-01-01 00:00:00

abstract：:To improve the classification performance of imbalanced learning, a novel oversampling method, immune centroids oversampling technique (ICOTE) based on an immune network, is proposed. ICOTE generates a set of immune centroids to broaden the decision regions of the minority class space. The representative immune centro...

journal_title：Computational intelligence and neuroscience

authors： Ai X,Wu J,Sheng VS,Zhao P,Cui Z

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

authors： She Q,Ma Y,Meng M,Luo Z

更新日期：2015-01-01 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：: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：:Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles' arrival of major stream and vehicles' arr...

journal_title：Computational intelligence and neuroscience

authors： Guo RJ,Wang XJ,Wang WX

更新日期：2014-01-01 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：:The high frequency of red-light running and complex driving behaviors at the yellow onset at intersections cannot be explained solely by the dilemma zone and vehicle kinematics. In this paper, the author presented a red-light running prevention system which was based on artificial neural networks (ANNs) to approximate...

journal_title：Computational intelligence and neuroscience

authors： Li P,Li Y,Guo X

更新日期：2014-01-01 00:00:00

abstract：:High-dimensional large sample data sets, between feature variables and between samples, may cause some correlative or repetitive factors, occupy lots of storage space, and consume much computing time. Using the Elman neural network to deal with them, too many inputs will influence the operating efficiency and recognit...

journal_title：Computational intelligence and neuroscience

authors： Jia W,Zhao D,Shen T,Tang Y,Zhao Y

更新日期：2014-01-01 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：: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

authors： Hou J,List GF,Guo X

更新日期：2014-01-01 00:00:00

abstract：:We propose a biologically motivated brain-inspired single neuron perceptron (SNP) with universal approximation and XOR computation properties. This computational model extends the input pattern and is based on the excitatory and inhibitory learning rules inspired from neural connections in the human brain's nervous sy...

journal_title：Computational intelligence and neuroscience

authors： Lotfi E,Akbarzadeh-T MR

更新日期：2014-01-01 00:00:00

abstract：:Feature selection plays an important role in machine learning and data mining. In recent years, various feature measurements have been proposed to select significant features from high-dimensional datasets. However, most traditional feature selection methods will ignore some features which have strong classification a...

journal_title：Computational intelligence and neuroscience

authors： Zeng K,She K,Niu X

更新日期：2014-01-01 00:00:00

abstract：:The motor clinical hallmarks of Parkinson's disease (PD) are usually quantified by physicians using validated clinimetric scales such as the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). However, clinical ratings are prone to subjectivity and inter-rater variability. The PD medical community is therefore looki...

journal_title：Computational intelligence and neuroscience

authors： Stamatakis J,Ambroise J,Crémers J,Sharei H,Delvaux V,Macq B,Garraux G

更新日期：2013-01-01 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：:Sensemaking is the active process of constructing a meaningful representation (i.e., making sense) of some complex aspect of the world. In relation to intelligence analysis, sensemaking is the act of finding and interpreting relevant facts amongst the sea of incoming reports, images, and intelligence. We present a cog...

journal_title：Computational intelligence and neuroscience

authors： Lebiere C,Pirolli P,Thomson R,Paik J,Rutledge-Taylor M,Staszewski J,Anderson JR

更新日期：2013-01-01 00:00:00

abstract：:We propose a model to generate a group of artificial lives capable of coping with various environments which is equivalent to a set of requested task, and likely to show that the plays or hobbies are necessary for the group of individuals to maintain the coping capability with various changes of the environment as a w...

journal_title：Computational intelligence and neuroscience

authors： Tamura S,Inabayashi S,Hayakawa W,Yokouchi T,Mitsumoto H,Taketani H

更新日期：2012-01-01 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

authors： Rabbi AF,Fazel-Rezai R

更新日期：2012-01-01 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 cerebellum input stage has been known to perform combinatorial operations on input signals. In this paper, two types of mathematical models were used to reproduce the role of feed-forward inhibition and computation in the granular layer microcircuitry to investigate spike train processing. A simple spiking model a...

journal_title：Computational intelligence and neuroscience

authors： Medini C,Nair B,D'Angelo E,Naldi G,Diwakar S

更新日期：2012-01-01 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

abstract：:We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools incl...

journal_title：Computational intelligence and neuroscience

authors： Delorme A,Mullen T,Kothe C,Akalin Acar Z,Bigdely-Shamlo N,Vankov A,Makeig S

更新日期：2011-01-01 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

authors： El-Laithy K,Bogdan M

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

authors： Manyakov NV,Chumerin N,Combaz A,Van Hulle MM

更新日期：2011-01-01 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

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：: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：:When entering a synapse, presynaptic pulse trains are filtered according to the recent pulse history at the synapse and also with respect to their own pulse time course. Various behavioral models have tried to reproduce these complex filtering properties. In particular, the quantal model of neurotransmitter release ha...

journal_title：Computational intelligence and neuroscience

authors： Mayr C,Partzsch J,Schüffny R

更新日期：2009-01-01 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