Abstract:
:Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data can be employed as an exploratory method. The lack in the ICA model of strong a priori assumptions about the signal or about the noise leads to difficult interpretations of the results. Moreover, the statistical independence of the components is only approximated. Residual dependencies among the components can reveal informative structure in the data. A major problem is related to model order selection, that is, the number of components to be extracted. Specifically, overestimation may lead to component splitting. In this work, a method based on hierarchical clustering of ICA applied to fMRI datasets is investigated. The clustering algorithm uses a metric based on the mutual information between the ICs. To estimate the similarity measure, a histogram-based technique and one based on kernel density estimation are tested on simulated datasets. Simulations results indicate that the method could be used to cluster components related to the same task and resulting from a splitting process occurring at different model orders. Different performances of the similarity measures were found and discussed. Preliminary results on real data are reported and show that the method can group task related and transiently task related components.
journal_name
Comput Intell Neuroscijournal_title
Computational intelligence and neuroscienceauthors
Vanello N,Ricciardi E,Landini Ldoi
10.1155/2016/2961727subject
Has Abstractpub_date
2016-01-01 00:00:00pages
2961727eissn
1687-5265issn
1687-5273journal_volume
2016pub_type
杂志文章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
pub_type: 杂志文章
doi:10.1155/2015/109806
更新日期:2015-01-01 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
pub_type: 杂志文章
doi:10.1155/2018/4518265
更新日期:2018-02-19 00:00:00
abstract::SSD (Single Shot MultiBox Detector) is one of the best object detection algorithms and is able to provide high accurate object detection performance in real time. However, SSD shows relatively poor performance on small object detection because its shallow prediction layer, which is responsible for detecting small obje...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2020/2936920
更新日期:2020-04-05 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
pub_type: 杂志文章
doi:10.1155/2016/7129376
更新日期:2016-01-01 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 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::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
pub_type: 杂志文章
doi:10.1155/2013/717853
更新日期:2013-01-01 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
pub_type: 杂志文章
doi:10.1155/2016/2758103
更新日期:2016-01-01 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
pub_type: 杂志文章
doi:10.1155/2019/5065214
更新日期:2019-12-31 00:00:00
abstract::Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collected data from the Taiwan Shimen Reservoir as well as daily atmospheri...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2017/8734214
更新日期:2017-01-01 00:00:00
abstract::In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to cl...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2017/9858531
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
pub_type: 杂志文章
doi:10.1155/2012/153496
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
pub_type: 杂志文章
doi:10.1155/2009/652078
更新日期:2009-01-01 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
pub_type: 杂志文章
doi:10.1155/2016/7496735
更新日期:2016-01-01 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
pub_type: 杂志文章
doi:10.1155/2014/746376
更新日期:2014-01-01 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
pub_type: 杂志文章
doi:10.1155/2010/267671
更新日期:2010-01-01 00:00:00
abstract::The use of intelligent judgment technology to assist in judgment is an inevitable trend in the development of judgment in contemporary social legal cases. Using big data and artificial intelligence technology to accurately determine multiple accusations involved in legal cases is an urgent problem to be solved in lega...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2019/6705405
更新日期:2019-07-07 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
pub_type: 杂志文章
doi:10.1155/2018/1869565
更新日期:2018-06-13 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
pub_type: 杂志文章
doi:10.1155/2015/653639
更新日期:2015-01-01 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
pub_type: 杂志文章
doi:10.1155/2020/8848363
更新日期:2020-09-30 00:00:00
abstract::Recent technological advances have enabled researchers to collect large amounts of electroencephalography (EEG) signals in labeled and unlabeled datasets. It is expensive and time consuming to collect labeled EEG data for use in brain-computer interface (BCI) systems, however. In this paper, a novel active learning me...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2020/3287589
更新日期:2020-03-10 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
pub_type: 杂志文章
doi:10.1155/2012/575129
更新日期:2012-01-01 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
pub_type: 杂志文章
doi:10.1155/2015/875735
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
pub_type: 杂志文章
doi:10.1155/2019/8367214
更新日期:2019-02-20 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::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
pub_type: 杂志文章
doi:10.1155/2016/1898527
更新日期:2016-01-01 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
pub_type: 杂志文章
doi:10.1155/2015/918305
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::One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car and public bus transit. To achieve signal control optimization from the perspective of all users, this paper proposes a platoon-based adaptive signal control (PASC) strategy to pro...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2020/2764576
更新日期:2020-06-01 00:00:00
abstract::The purpose of this paper is to evaluate food taste, smell, and characteristics from consumers' online reviews. Several studies in food sensory evaluation have been presented for consumer acceptance. However, these studies need taste descriptive word lexicon, and they are not suitable for analyzing large number of eva...
journal_title:Computational intelligence and neuroscience
pub_type: 杂志文章
doi:10.1155/2018/9293437
更新日期:2018-01-22 00:00:00