Oscillatory Neural Networks

Overview

Oscillatory neural networks use rhythmic activity, phase relationships, and synchronization to represent and process information. Common approaches build on Kuramoto or Winfree oscillator dynamics, integrate oscillations into spiking and recurrent models, or use phase-based learning rules and predictive learning. Applications include sequence and text processing, graph learning, associative memory, constrained problems such as Sudoku, and neuromorphic or soft-robot control. Results span theory, simulations, hardware prototypes, and standard benchmarks, but it remains unclear how reliably these methods scale to deep systems and varied tasks, and when their added dynamics outperform simpler models.

Latest papers

CardsList

20 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Understanding Mamba-3 Through Oscillatory Dynamics

    Oct 9, 2026Shutian Liang, Yue SongSequence ModelingSelective SSMs

  2. Oscillatory Neural Dynamics over Sheaves

    Oct 7, 2026Jan-Willem Van Looy, Alessandro Trenta, Alessio Gravina +5Long-Range Graph LearningGraph Neural Networks

  3. Lock-in EP: An In-Situ Training Algorithm for Oscillatory Hardware

    Oct 5, 2026Sowjanya Tammali, Wilkie Olin-AmmentorpAnalog ComputingEquilibrium Propagation

  4. Emergent Intelligence: Resonant Oscillators Produce Proactive Adaptive Behavior

    Sep 18, 2026Alex Fedosov, Maxim Yakimenko, Sander StepanovSymmetry DiscoveryOscillatory Neural Networks

  5. Pneumatic neurons for soft robots enable inflate-and-fire networks for rhythmic motion

    Sep 10, 2026Dongting Li, Michael Tolley, Nick GravishOscillatory Neural NetworksRobot Locomotion

  6. Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning

    Sep 8, 2026Mohammed-Yassine Habibi, Klea Ziu, Martin Takáč +1Oscillatory Neural NetworksAdversarial Robustness

  7. Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks

    Jul 17, 2026Filip Sabo, Aida Todri-SanialSudoku SolvingOscillatory Neural Networks

  8. Self-Organized Learning in Oscillatory Neural Networks with Memristive Signed Couplings

    Jul 1, 2026Riley Acker, Aman Desai, Garrett Kenyon +1Oscillatory Neural NetworksNeuromorphic Computing

  9. Attention as Frustrated Synchronization

    Jun 17, 2026Joshua NunleyOscillatory Neural NetworksAutoregressive Language Modeling

  10. Winfree Oscillatory Neural Network

    May 20, 2026Jiawen Dai, Yue SongDynamic Neural NetworksOscillatory Neural Networks

  11. From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination

    May 3, 2026Tingting Dan, Guorong WuOscillatory Neural NetworksSpiking Neural Networks

  12. Kathleen: Oscillator-Based Byte-Level Text Classification Without Tokenization or Attention

    Apr 9, 2026George FountzoulasText ClassificationOscillatory Neural Networks

  13. Regime Mapping of Oscillatory States in Balanced Spiking Networks with Multiple Time Scales

    Apr 6, 2026Tsung-Han Kuo, Tzu-Chia TungSpiking Neural NetworksOscillatory Neural Networks

  14. Oscillator-Based Associative Memory with Exponential Capacity: Theory, Algorithms, and Hardware Implementation

    Apr 1, 2026Arie Ogranovich, Taosha Guo, Arvind R. Venkatakrishnan +3Kuramoto ModelAssociative Memory

  15. Upper Generalization Bounds for Neural Oscillators

    Mar 10, 2026Zifeng Huang, Konstantin M. Zuev, Yong Xia +1Generalization BoundsNeural Network Generalization

  16. Chaotic Oscillator Networks for Classification Tasks

    Mar 6, 2026Toni Ivas, Georgios Violakis, Roland Richter +2Oscillatory Neural NetworksClassification

  17. Hebbian-Oscillatory Co-Learning

    Feb 21, 2026Hasi HaysSparse Neural NetworksOscillatory Neural Networks