Learning internal representations by error propagation
Neurocomputing: foundations of research
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Speech recognition using neural networks
Speech recognition using neural networks
Adaptive Filters: Theory and Applications
Adaptive Filters: Theory and Applications
Real-time computation at the edge of chaos in recurrent neural networks
Neural Computation
Learning to Forget: Continual Prediction with LSTM
Neural Computation
Learning sensory representations with intrinsic plasticity
Neurocomputing
Analysis and design of echo state networks
Neural Computation
A Neurolinguistic Model of Grammatical Construction Processing
Journal of Cognitive Neuroscience
Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
Neural Computation
Neural Computation
Training Recurrent Networks by Evolino
Neural Computation
2007 Special Issue: The cerebellum as a liquid state machine
Neural Networks
A learning algorithm for continually running fully recurrent neural networks
Neural Computation
Delay learning and polychronization for reservoir computing
Neurocomputing
Improving reservoirs using intrinsic plasticity
Neurocomputing
Unsupervised learning of echo state networks: balancing the double pole
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Stable Output Feedback in Reservoir Computing Using Ridge Regression
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Supervised and Evolutionary Learning of Echo State Networks
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
LAB-RS '08 Proceedings of the 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems
Isolated word recognition with the Liquid State Machine: a case study
Information Processing Letters - Special issue on applications of spiking neural networks
Improving the prediction accuracy of echo state neural networks by Anti-Oja's learning
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
The introduction of time-scales in reservoir computing, applied to isolated digits recognition
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Unsupervised learning of echo state networks: a case study in artificial embryogeny
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Memory in backpropagation-decorrelation O(N) efficient online recurrent learning
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Stable trajectory generator: echo state network trained by particle swarm optimization
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
A NEAT Way for Evolving Echo State Networks
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Information processing in complex networks
IEEE Circuits and Systems Magazine - Special issue on complex networks applications in circuits and systems
Simple deterministically constructed recurrent neural networks
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Echo state networks with sparse output connections
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Adaptive critic design with ESN critic for bioprocess optimization
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Stability and topology in reservoir computing
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
A neurodynamical model for working memory
Neural Networks
Improving recurrent neural network performance using transfer entropy
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Architectural and Markovian factors of echo state networks
Neural Networks
Anti boundary effect wavelet decomposition echo state networks
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
ESN intrinsic plasticity versus reservoir stability
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Pattern Recognition
Topological constraints and robustness in liquid state machines
Expert Systems with Applications: An International Journal
Recurrent kernel machines: Computing with infinite echo state networks
Neural Computation
The echo state conditional random field model for sequential data modeling
Expert Systems with Applications: An International Journal
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
Simple deterministically constructed cycle reservoirs with regular jumps
Neural Computation
A reservoir-driven non-stationary hidden Markov model
Pattern Recognition
Echo state networks for seasonal streamflow series forecasting
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Distributed high dimensional information theoretical image registration via random projections
Digital Signal Processing
Re-visiting the echo state property
Neural Networks
Neurocomputing
Adaptive reservoir computing through evolution and learning
Neurocomputing
Echo state networks for multi-dimensional data clustering
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Self-organized reservoirs and their hierarchies
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
On-Line processing of grammatical structure using reservoir computing
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Constructing robust liquid state machines to process highly variable data streams
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Design strategies for weight matrices of echo state networks
Neural Computation
Subspace echo state network for multivariate time series prediction
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Engineering Applications of Artificial Intelligence
An approach to reservoir computing design and training
Expert Systems with Applications: An International Journal
Short term memory in input-driven linear dynamical systems
Neurocomputing
Model-based kernel for efficient time series analysis
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
A novel method for training an echo state network with feedback-error learning
Advances in Artificial Intelligence
Toward nonlinear local reinforcement learning rules through neuroevolution
Neural Computation
Proceedings of the Fourth Symposium on Information and Communication Technology
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Echo State Networks and Liquid State Machines introduced a new paradigm in artificial recurrent neural network (RNN) training, where an RNN (the reservoir) is generated randomly and only a readout is trained. The paradigm, becoming known as reservoir computing, greatly facilitated the practical application of RNNs and outperformed classical fully trained RNNs in many tasks. It has lately become a vivid research field with numerous extensions of the basic idea, including reservoir adaptation, thus broadening the initial paradigm to using different methods for training the reservoir and the readout. This review systematically surveys both current ways of generating/adapting the reservoirs and training different types of readouts. It offers a natural conceptual classification of the techniques, which transcends boundaries of the current ''brand-names'' of reservoir methods, and thus aims to help in unifying the field and providing the reader with a detailed ''map'' of it.