Developmental and Evolutionary Lexicon Acquisition in Cognitive Agents/Robots with Grounding Principle: A Short Review.

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：: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：: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：: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 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：: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 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

authors： Gunduz M,Khader BK

更新日期：2020-02-25 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：:Long and tedious calibration time hinders the development of motor imagery- (MI-) based brain-computer interface (BCI). To tackle this problem, we use a limited labelled set and a relatively large unlabelled set from the same subject for training based on the transductive support vector machine (TSVM) framework. We fi...

journal_title：Computational intelligence and neuroscience

authors： Xu Y,Hua J,Zhang H,Hu R,Huang X,Liu J,Guo F

更新日期：2019-11-25 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：: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：:This study introduces a supercapacitor hybrid energy storage system in a wind-solar hybrid power generation system, which can remarkably increase the energy storage capacity and output power of the system. In the specific solution, this study combines the distributed power generation system and the hybrid energy stora...

journal_title：Computational intelligence and neuroscience

authors： Zhu R,Zhao AL,Wang GC,Xia X,Yang Y

更新日期：2020-08-28 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：: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：: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：:Ensemble clustering can improve the generalization ability of a single clustering algorithm and generate a more robust clustering result by integrating multiple base clusterings, so it becomes the focus of current clustering research. Ensemble clustering aims at finding a consensus partition which agrees as much as po...

journal_title：Computational intelligence and neuroscience

authors： Wang Y,Liu X,Xiang L

更新日期：2017-01-01 00:00:00

abstract：:Most EEG phase synchrony measures are of bivariate nature. Those that are multivariate focus on producing global indices of the synchronization state of the system. Thus, better descriptions of spatial and temporal local interactions are still in demand. A framework for characterization of phase synchrony relationship...

journal_title：Computational intelligence and neuroscience

authors： Porta-Garcia MA,Valdes-Cristerna R,Yanez-Suarez O

更新日期：2018-03-21 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：: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：:This study proposes a home care system (HCS) based on a brain-computer interface (BCI) with a smartphone. The HCS provides daily help to motor-disabled people when a caregiver is not present. The aim of the study is two-fold: (1) to develop a BCI-based home care system to help end-users control their household applian...

journal_title：Computational intelligence and neuroscience

authors： Sun KT,Hsieh KL,Syu SR

更新日期：2020-08-28 00:00:00

abstract：:This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In this, the membership functions of the fuzzy system are calculated using Genetic Algorithm by taking preobserved actual values for shot boundaries. The classification of the types of shot transitions is done by the fuzzy ...

journal_title：Computational intelligence and neuroscience

authors： Thounaojam DM,Khelchandra T,Manglem Singh Kh,Roy S

更新日期：2016-01-01 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

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：: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 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：:Though Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) via Convolutional Neural Networks (CNNs) has made huge progress toward deep learning, some key issues still remain unsolved due to the lack of sufficient samples and robust model. In this paper, we proposed an efficient transferred Max-Slice CNN ...

journal_title：Computational intelligence and neuroscience

authors： Zhai Y,Deng W,Xu Y,Ke Q,Gan J,Sun B,Zeng J,Piuri V

更新日期：2019-11-15 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 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：: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：: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

authors： Shimray BA,Singh KM,Khelchandra T,Mehta RK

更新日期：2017-01-01 00:00:00