Computational Intelligence and Neuroscience
SCOPUS (2008-2021)
1687-5273
1687-5265
Mỹ
Cơ quản chủ quản: Hindawi Publishing Corporation
Lĩnh vực:
Computer Science (miscellaneous)Medicine (miscellaneous)Neuroscience (miscellaneous)Mathematics (miscellaneous)
Các bài báo tiêu biểu
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological DataThis paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanc... ... hiện toàn bộ
Tập 2011 - Trang 1-9 - 2011
Deep Learning for Computer Vision: A Brief ReviewOver the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief overview of some of the most significant deep learning schemes used in computer vision problems, that is, Convolutional Neural Networks, Deep Boltzmann ... ... hiện toàn bộ
Tập 2018 - Trang 1-13 - 2018
Spatiotemporal Analysis of Multichannel EEG: CARTOOLThis paper describes methods to analyze the brain's electric fields recorded with multichannel Electroencephalogram (EEG) and demonstrates their implementation in the software CARTOOL. It focuses on the analysis of the spatial properties of these fields and on quantitative assessment of changes of field topographies across time, experimental conditions, or populations. Topographic analyses... ... hiện toàn bộ
Tập 2011 - Trang 1-15 - 2011
A Survey of Stimulation Methods Used in SSVEP-Based BCIsBrain-computer interface (BCI) systems based on the steady-state visual evoked potential (SSVEP) provide higher information throughput and require shorter training than BCI systems using other brain signals. To elicit an SSVEP, a repetitive visual stimulus (RVS) has to be presented to the user. The RVS can be rendered on a computer screen by alternating graphical patterns, or with external... ... hiện toàn bộ
Tập 2010 - Trang 1-12 - 2010
Ragu: A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization StatisticsWe present a program (Ragu; Randomization Graphical User interface) for statistical analyses of multichannel event-related EEG and MEG experiments. Based on measures of scalp field differences including all sensors, and using powerful, assumption-free randomization statistics, the program yields robust, physiologically meaningful conclusions based on the entire, untransformed, and unbiased... ... hiện toàn bộ
Tập 2011 - Trang 1-14 - 2011
Brain Connectivity Analysis: A Short SurveyThis short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity, mostly from functional neuroimaging experiments. Resting state conditions have become a d... ... hiện toàn bộ
Tập 2012 - Trang 1-21 - 2012
Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG SignalsThis paper presents a patient-specific epileptic seizure predication method relying on the common spatial pattern- (CSP-) based feature extraction of scalp electroencephalogram (sEEG) signals. Multichannel EEG signals are traced and segmented into overlapping segments for both preictal and interictal intervals. The features extracted using CSP are used for training a linear discriminant an... ... hiện toàn bộ
Tập 2017 - Trang 1-11 - 2017
Harmony Search Method: Theory and ApplicationsThe Harmony Search (HS) method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical variants of the original HS are next briefly explained. As an example of case study, a modified H... ... hiện toàn bộ
Tập 2015 - Trang 1-10 - 2015
Financial Time Series Prediction Using Elman Recurrent Random Neural NetworksIn recent years, financial market dynamics forecasting has been a focus of economic research. To predict the price indices of stock markets, we developed an architecture which combined Elman recurrent neural networks with stochastic time effective function. By analyzing the proposed model with the linear regression, complexity invariant distance (CID), and multiscale CID (MCID) analysis me... ... hiện toàn bộ
Tập 2016 - Trang 1-14 - 2016
Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use CaseEmerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVID-19 pandemic outbreak, there is a significant need for medical cyber-physical systems to adopt these emerging technologies to combat COVID-19 paramedic ... ... hiện toàn bộ
Tập 2022 - Trang 1-14 - 2022