Computational Intelligence and Neuroscience
SCOPUS (2007-2022)
1687-5273
1687-5265
Mỹ
Cơ quản chủ quản: Hindawi Publishing Corporation
Lĩnh vực:
Computer Science (miscellaneous)Medicine (miscellaneous)Neuroscience (miscellaneous)Mathematics (miscellaneous)
Phân tích ảnh hưởng
Các bài báo tiêu biểu
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
Tập 2011 - Trang 1-9 - 2011
This 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 advanced analy...
Deep Learning for Computer Vision: A Brief Review
Tập 2018 - Trang 1-13 - 2018
Over 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 Machines...
Spatiotemporal Analysis of Multichannel EEG: CARTOOL
Tập 2011 - Trang 1-15 - 2011
This 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 are adv...
A Survey of Stimulation Methods Used in SSVEP-Based BCIs
Tập 2010 - Trang 1-12 - 2010
Brain-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 light s...
Ragu: A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization Statistics
Tập 2011 - Trang 1-14 - 2011
We 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 set of ...
Brain Connectivity Analysis: A Short Survey
Tập 2012 - Trang 1-21 - 2012
This 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
dominant ...
Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals
Tập 2017 - Trang 1-11 - 2017
This 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
analysis c...
Harmony Search Method: Theory and Applications
Tập 2015 - Trang 1-10 - 2015
The 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 HS method...
Financial Time Series Prediction Using Elman Recurrent Random Neural Networks
Tập 2016 - Trang 1-14 - 2016
In 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 methods an...
Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case
Tập 2022 - Trang 1-14 - 2022
Emerging 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 crisis. ...