Related references
Note: Only part of the references are listed.Why neurons mix: high dimensionality for higher cognition
Stefano Fusi et al.
CURRENT OPINION IN NEUROBIOLOGY (2016)
Functional echo state network for time series classification
Qianli Ma et al.
INFORMATION SCIENCES (2016)
An online generalized eigenvalue version of Laplacian Eigenmaps for visual big data
Zeeshan Khawar Malik et al.
NEUROCOMPUTING (2016)
Nonparametric estimation of Fisher information from real data
Omri Har-Shemesh et al.
PHYSICAL REVIEW E (2016)
Nonlinear time-series analysis revisited
Elizabeth Bradley et al.
CHAOS (2015)
Prediction of telephone calls load using Echo State Network with exogenous variables
Filippo Maria Bianchi et al.
NEURAL NETWORKS (2015)
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition
Filippo Maria Bianchi et al.
IEEE ACCESS (2015)
Fuzzy Echo State Neural Networks and Funnel Dynamic Surface Control for Prescribed Performance of a Nonlinear Dynamic System
Seong I. Han et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2014)
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting
Yu Peng et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Novel Biologically Inspired Approaches to Extracting Online Information from Temporal Data
Zeeshan Khawar Malik et al.
COGNITIVE COMPUTATION (2014)
Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction
Ali Deihimi et al.
ENERGY (2013)
Entropy-Relevant Dimensions in the Kernel Feature Space
Robert Jenssen
IEEE SIGNAL PROCESSING MAGAZINE (2013)
Context-dependent computation by recurrent dynamics in prefrontal cortex
Valerio Mante et al.
NATURE (2013)
Application of echo state networks in short-term electric load forecasting
Ali Deihimi et al.
ENERGY (2012)
Information processing in echo state networks at the edge of chaos
Joschka Boedecker et al.
THEORY IN BIOSCIENCES (2012)
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
Decai Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2012)
Kernel Entropy Component Analysis
Robert Jenssen
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)
Compressed and Privacy-Sensitive Sparse Regression
Shuheng Zhou et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2009)
Pruning and regularization in reservoir computing
X. Dutoit et al.
NEUROCOMPUTING (2009)
Reservoir computing approaches to recurrent neural network training
Mantas Lukosevicius et al.
COMPUTER SCIENCE REVIEW (2009)
Utilization of Echo State Networks for Differentiating Source and Nonlinear Load Harmonics in the Utility Network
Joy Mazumdar et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2008)
Untangling invariant object recognition
James J. DiCarlo et al.
TRENDS IN COGNITIVE SCIENCES (2007)
Automatic speech recognition using a predictive echo state network classifier
Mark D. Skowronski et al.
NEURAL NETWORKS (2007)
Recurrence plots for the analysis of complex systems
Norbert Marwan et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2007)
Did the ECMWF seasonal forecast model outperform statistical ENSO forecast models over the last 15 years?
GJ Van Oldenborgh et al.
JOURNAL OF CLIMATE (2005)
A particle swarm optimization to identifying the ARMAX model for short-term load forecasting
CM Huang et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2005)
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger et al.
SCIENCE (2004)
New support vector algorithms
B Schölkopf et al.
NEURAL COMPUTATION (2000)