Computational Intelligence and Neuroscience
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Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations
Computational Intelligence and Neuroscience - Tập 2016 - Trang 1-9 - 2016
A neural network (NN) technique to fill gaps in satellite data is introduced,
linking satellite-derived fields of interest with other satellites andin
situphysical observations. Satellite-derived “ocean color” (OC) data are used in
this study because OC variability is primarily driven by biological processes
related and correlated in complex, nonlinear relationships with the physical
processes of ...
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
Computational Intelligence and Neuroscience - 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...
Design of Semiautomatic Digital Creation System for Electronic Music Based on Recurrent Neural Network
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-12 - 2022
Semiautomated digital creation is increasingly important in the manipulation of
electronic music. How to realize the learning of local effective features of
audio data is a difficult point in the current research field. Based on
recurrent neural network theory, this paper designs a semiautomatic digital
creation system for electronic music for digital manipulation and genre
classification. The rec...
Force Optimization of Elongated Undulating Fin Robot Using Improved PSO-Based CPG
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-11 - 2022
Biorobotic fishes have a huge impact on the development of underwater devices
due to both fast swimming speed and great maneuverability. In this paper, an
enhanced CPG model is investigated for locomotion control of an elongated
undulating fin robot inspired by black knife fish. The proposed CPG network
includes sixteen coupled Hopf oscillators for gait generation to mimic fishlike
swimming. Furth...
Brain Connectivity Analysis: A Short Survey
Computational Intelligence and Neuroscience - 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 ...
A Survey of Stimulation Methods Used in SSVEP-Based BCIs
Computational Intelligence and Neuroscience - 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...
Computational Logistics for Container Terminal Handling Systems with Deep Learning
Computational Intelligence and Neuroscience - Tập 2021 Số 1 - 2021
Container terminals are playing an increasingly important role in the global
logistics network; however, the programming, planning, scheduling, and decision
of the container terminal handling system (CTHS) all are provided with a high
degree of nonlinearity, coupling, and complexity. Given that, a combination of
computational logistics and deep learning, which is just about container
terminal‐orie...
Financial Time Series Prediction Using Elman Recurrent Random Neural Networks
Computational Intelligence and Neuroscience - 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...
Influencing Factors of CO2 Emissions in Chinese Power Industry: A Study from the Production and Consumption Perspectives
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-13 - 2022
China’s huge regional differences are taken into consideration to study the
influencing factors and their differences in CO2 emissions of the power industry
from different regions. This study aimed to improve the efficiency of CO2
emission reduction policies. From the production and consumption perspectives,
this study analyzes the influencing factors of CO2 emissions and utilizes the
Logarithmic ...
Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals
Computational Intelligence and Neuroscience - 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...
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