Reservoir Computing

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Overview

Reservoir computing studies how the evolving states of recurrent systems can encode useful information about time-varying inputs, often without training the recurrent connections. Common approaches include echo state networks with fitted linear readouts, next-generation reservoirs built from delays and nonlinear features, and physical reservoirs based on devices such as photonic, memristive, mechanical, or biological systems. Researchers apply these methods to chaotic-system forecasting, signal classification, control, and scientific modeling, while improving them through changes to topology, timescales, pruning, and online adaptation. A central challenge is balancing memory, stability, and expressive dynamics; for quantum reservoirs in particular, broad advantages over carefully matched classical methods remain unestablished.

Latest papers

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107 papers10 papers in the last four weeks, down 17% on the four weeks before. 0.1% of all new papers.

  1. Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach

    Apr 1, 2026Abrari Noor Hasmi, Haralampos Hatzikirou, Hadi SusantoSymplectic RNNsHamiltonian Neural Networks

    Department of Mathematics, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates · Public Health and Epidemeology Department, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.

  2. Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits

    Mar 31, 2026Thomas Buckley, Leslie Schumm, Manor Askenazi +1Handwritten Digit RecognitionReservoir Computing

    Manning College of Information and Computer Science, University of Massachusetts Amherst, MA 01003 · Now at Harvard · Independent Researcher, Chicago, IL +2

  3. Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

    Mar 25, 2026Wuque Cai, Hongze Sun, Quan Tang +6Spiking Neural NetworksNeuromorphic Computing

    Brain-Apparatus Communication Institute, University of Electronic Science and Technology of China, Chengdu, China · School of Artificial Intelligence, Chongqing University of Education, Chongqing, China

  4. Bridging Biological Hearing and Neuromorphic Computing: End-to-End Time-Domain Audio Signal Processing with Reservoir Computing

    Mar 25, 2026Rinku Sebastian, Simon O'Keefe, Martin TrefzerSpeech ProcessingReservoir Computing

    University of York. York, United Kingdom.

  5. Reservoir-Based Graph Convolutional Networks

    Mar 25, 2026Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub +1Graph Neural NetworksConvolutional Neural Networks

    National Engineering School of Sousse, University of Sousse, LATIS – Laboratory of Advanced Technology and Intelligent Systems, 4023, Sousse, Tunisia. · BASIRA Lab, Imperial-X and Department of Computing, Imperial College London, London, UK.

  6. Optimal Memory Encoding Through Fluctuation-Response Structure

    Mar 23, 2026Lianxiang Cui, Kohei Nakajima, Kazuyuki AiharaReservoir ComputingNeural Encoding

    International Research Center for Neurointelligence, University of Tokyo Institutes for Advanced Study, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan · Graduate School of Information Science and Technology, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan

  7. Centrality-Based Pruning for Efficient Echo State Networks

    Mar 21, 2026Sudip LaudariReservoir ComputingNeural Network Pruning

    Independent Researcher.

  8. Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach

    Mar 19, 2026Rahul Halder, Arash Hajisharifi, Kabir Bakhshaei +1Reduced-Order ModelingPDE Surrogate Modeling

    Mathematics Area, mathLab, SISSA, via Bonomea 265, I-34136 Trieste, Italy · Biorobotics Institute, SMART Lab, Sant’Anna School of Advanced Studies, Pisa, Italy · Department of Computer Science, University of Pisa, Pisa, Italy

  9. Storage and selection of multiple chaotic attractors in minimal reservoir computers

    Mar 16, 2026Francesco Martinuzzi, Holger KantzReservoir ComputingDynamical Systems

    Max Planck Institute for the Physics of Complex Systems, Dresden, Germany

  10. OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX

    Mar 16, 2026Jan Williams, Dima Tretiak, Steven L. Brunton +2Reservoir Computing

    Department of Mechanical Engineering, University of Washington, USA · Department of Applied Mathematics, University of Washington, USA · Department of Electrical and Computer Engineering, University of Washington, USA +1

  11. Reservoir Subspace Injection for Online ICA under Top-n Whitening

    Mar 2, 2026Wenjun Xiao, Yuda Bi, Vince D CalhounIndependent Component AnalysisReservoir Computing

    Department of Computer Science, The George Washington University, Washington, DC 20052 USA · Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303 USA · School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA

  12. RECAP: Local Hebbian Prototype Learning as a Self-Organizing Readout for Reservoir Dynamics

    Feb 25, 2026Heng ZhangImage ClassificationPrototype-Based Classification

    International Research Center for Neurointelligence (IRCN), University of Tokyo, Japan

  13. Sensitivity-Guided Framework for Pruned and Quantized Reservoir Computing Accelerators

    Feb 24, 2026Atousa Jafari, Mahdi Taheri, Hassan Ghasemzadeh Mohammadi +2Reservoir ComputingNeural Network Compression

    Paderborn University, Paderborn, Germany · Brandenburg Technical University, Cottbus, Germany · Tallinn University of Technology, Tallinn, Estonia +1

  14. Fast Linear Reservoirs via Diagonalization

    Feb 23, 2026Romain de Coudenhove, Yannis Bendi-Ouis, Anthony Strock +1Reservoir ComputingEfficient Neural Network Inference

    Mnemosyne, DI-ENS · ENS PSL, Inria Center of Bordeaux University, LaBRI, IMN · Mnemosyne +2

  15. Role of scrambling and noise in temporal information processing with quantum systems

    May 15, 2025Weijie Xiong, Zoë Holmes, Armando Angrisani +3Reservoir ComputingQuantum Reservoir Computing

    Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland · Centre for Quantum Science and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland · Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulongkorn University, Bangkok, Thailand

  16. Tailored minimal reservoir computing: on the bidirectional connection between nonlinearities in the reservoir and in data

    Apr 24, 2025Davide Prosperino, Haochun Ma, Christoph RäthNonlinear System IdentificationReservoir Computing

    Ludwig-Maximilians-Universität München, Faculty of Physics, Geschwister-Scholl-Platz 1, 80539 Munich, Germany · Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institute for Frontier Materials on Earth and in Space, Linder Höhe, 51147 Cologne, Germany

  17. Universal set of Observables for Forecasting Physical Systems through Causal Embedding

    May 22, 2021G Manjunath, A de Clercq, MJ SteynbergDynamical SystemsReservoir Computing

    *Department of Mathematics & Applied Mathematics, University of Pretoria, Pretoria 0028 · † Department of Physics, University of Pretoria, Pretoria 0028