Neural Dynamics

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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Latest papers 38

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Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems
Oct 1, 2026Lulu Gong, Yongxu Zhang, Shreya SaxenaNeural Dynamics Timescale
Center for Neurocomputation and Machine Intelligence, Wu Tsai Institute, Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA
NeuroDyn-EEG: An Interpretable Pre-trained Model for EEG Based on Neural Dynamics
Sep 29, 2026Yi Cui, Tong Zhao, Jiaxin Lei +5Electroencephalography Neural Dynamics
Gnosis Neurodynamics Co. Ltd, Room 202, West Area, Building North 1, No. 9 Yard, Shengmingyuan Road, Changping District, Beijing, China · School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University, Beijing, China · University of California, Davis, department of psychology +2
Identifying Neural Source Dynamics from Unknown Local Interventions
Sep 28, 2026Ayana Mussabayeva, Jiaqi Sun, Anuar Aimoldin +2Electroencephalography Neural Dynamics
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE · Carnegie Mellon University (CMU), Pittsburgh, PA, USA
Orbital Error Dynamics: Self-Organized Criticality, Ephemeral Parameter Resonance, and Non-Linear Biological Ontologies in Zero-Storage Neural Synthesis
Sep 24, 2026Volkan Dağlı, Zerrin Dağlı, Dağhan DağlıNeural Dynamics Oscillatory Dynamics
Anadolu University, Eski¸sehir, Turkey · ITouch Systems, Mersin, Turkey · Mersin University, Mersin, Turkey +1
Activation-Flexible ANN-to-SNN Conversion with Finite-State Markov Neurons
Sep 24, 2026Ruiyu Jia, Zhuo-Cheng XiaoSpiking Neural Networks Activation Functions
New York University Shanghai, Shanghai, China
CompAdapt: Adaptable Composite Motion Modeling for Physics-Consistent Text-to-Video Generation
Sep 18, 2026Haoran Qin, Renlong Wu, Tianyu Huang +3Text-To-Video Generation Model Text-To-Video Diffusion Models
Harbin Institute of Technology, China · Taobao, Alibaba Group, China
A neural-astrocyte architecture implements a hybrid automaton for evidence accumulation
Sep 14, 2026Giacomo Vedovati, Ilya E. Monosov, Thomas J. Papouin +1Neural Dynamics Neurons
Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA · Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218 USA · Department of Neuroscience, Washington University in St. Louis, St. Louis, MO 63130, USA
Tools to Explain Neural Networks for Power System Dynamics
Aug 8, 2026Petros Ellinas, Johanna Vorwerk, Spyros ChatzivasileiadisNeural Dynamics Machine Learning Surrogates
Department of Wind and Energy Systems, Technical University of Denmark, Lyngby, Denmark
Rethinking Reservoir Pruning: A Dynamical Perspective for Echo State Networks
Aug 5, 2026Sudip Laudari, Puspa Raj AdhikariReservoir Computing Recurrent Neural Networks
Independent Researcher. · Advanced Materials Science and Engineering, Sungkyunkwan University.
Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting
Aug 5, 2026Mengzhou Gao, Huangqian Yu, Pengfei JiaoLong-Horizon Forecasting Nonlinear Dynamics
Hangzhou Dianzi University Hangzhou, China
New Synchronous Computation Dynamics for Hopfield Networks
Jul 30, 2026Francisco Requena-Domínguez, Rafaela Benítez-Rochel, Ezequiel López-RubioHopfield Networks Neural Dynamics
Department of Computer Languages and Computer Science University of Málaga Bulevar Louis Pasteur 35, 29071 Málaga, Spain · ITIS Software, University of Málaga C/ Arquitecto Francisco Peñalosa 18, 29010 Málaga, Spain
Learning to Access Computation: Accessibility Plasticity as a Principle of Adaptive Intelligence
Jul 23, 2026Zhaowen FanPlasticity Neural Dynamics
Department of Computer Science, Sichuan University
Spiking Neural Networks for fMRI-Based Visual Semantic Decoding
Jul 21, 2026Jiahong Zhang, Jinning Zhao, Sijun Shen +3Functional Magnetic Resonance Imaging Spiking Neural Networks
Institute of Automation, Chinese Academy of Sciences, Beijing 100045, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China · State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China
NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception
Jul 13, 2026Zhiyang Dou, John U. Onyemelukwe, Hangxing Zhang +9Actuator Inverse Dynamics
1MIT · 2Amazon Robotics
Dynamic neural manifolds for flexible closed-loop control on neuromorphic hardware
Jul 8, 2026Oskar von Seeler, Christian Tetzlaff, Andrew LehrNeural Dynamics Neuromorphic Computing
Group of Computational Synaptic Physiology, Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Germany · Campus Institute Data Science, University of Göttingen, Germany · Circulant Labs, Bensheim, Germany
GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics
Jul 1, 2026Jeffrey Fang, Keyi Shen, Anutam Srinivasan +1Nonlinear Dynamics Neural Dynamics
Scalar Representations of Neural Network Training Dynamics
Jun 29, 2026Pedro Jiménez-González, Miguel C. Soriano, Lucas LacasaNeural Dynamics Lyapunov Function
Institute for Cross-Disciplinary Physics and Complex Systems (IFISC, CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain
Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling
Jun 19, 2026Borui Cai, Yao ZhaoNeural Dynamics Sequence Modeling
Hangzhou International Innovation Institute, Beihang University, China · Victoria University, Melbourne, Australia
Neural dynamical systems on ferroelectric compute-in-memory for real-time forecasting
Jun 15, 2026Keshava Katti, Adithya Selvakumar, Pratik Chaudhari +1Neuromorphic Computing Neural Dynamics
Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA
Machine Learning Methods for Studying Latent Neural Activity Dynamics
Jun 9, 2026Shufeng Kong, Fumei Deng, Xinyi Dong +7Neural Dynamics Neural Recordings
School of Software Engineering, Sun Yat-sen University, Zhuhai, China · School of Computer Science and Artificial Intelligence, Foshan University, Foshan, China · Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA +2
Physiologically Constrained Musculoskeletal Neural Network for Multi-DoF Joint Kinematics Estimation from Partially Observed sEMG
Jun 5, 2026Wending Heng, Mingming Zhang, Glen Cooper +1Surface Electromyography Musculoskeletal
University of Manchester · 2Southern University of Science and Technology
Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics
May 31, 2026JR Huml, Jonathan Wenger, John P. CunninghamBayesian Neural Networks Neural Dynamics
Department of Statistics, Columbia University; Zyphra Technologies · Department of Statistics, Columbia University; Zuckerman Institute
FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
May 26, 2026Peiyu Duan, Jiyao Wang, Nicha C. Dvornek +4Functional Magnetic Resonance Imaging Time-Series Generation
Department of Biomedical Engineering, Yale University, New Haven, CT, USA · Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT, USA · Department of Electrical Engineering, Yale University, New Haven, CT, USA
Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
May 25, 2026Keyi Shen, Glen ChouReachability Learning-Based Control
Georgia Institute of Technology, Atlanta, GA 30308
Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning
May 24, 2026Tianwei Wang, Bryan Chen, Qian Zuo +3Lie Group Neural Dynamics
School of Informatics University of Edinburgh · Bio-inspired Computing and Machine Learning (BCML) Lab · School of Mathematics University of Edinburgh +2
Let EEG Models Learn EEG
May 20, 2026Yifan Wang, Yijia Ma, Wen Li +1Electroencephalography Generative Models
Stony Brook University · University of Texas Health Center at Houston.
TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics
May 19, 2026Alexander Kyuroson, Denis Kleyko, Marcus LiwickiNeural Dynamics
Luleå University of Technology, Luleå, Sweden · Örebro University & RISE Research Institutes of Sweden
BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics
May 19, 2026Siddharth Viswanath, Panayiotis Ketonis, Chen Liu +3Human Brain Networks Neural Dynamics
1Yale University · 2Boise State University · University of Wisconsin–Madison
WorldString: Actionable World Representation
May 18, 2026Kunqi Xu, Jitao Li, Jianglong Ye +4World Models World
Tsinghua University - IEI Lab · CalTech · UC San Diego +1
How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
May 16, 2026Shuqi Zhu, Yi Zhong, Ziyi Ye +4Cognitive Science Multimodal Neuroimaging
Department of Computer Science and Technology, Tsinghua University, Beijing, China · Institute of Trustworthy Embodied AI, Fudan University, Shanghai, China
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
May 12, 2026Maximino Linares, Guillaume Doras, Thomas HélieParametric Physics-Informed Neural Network Nonlinear Dynamics
1IRCAM, 1, place Igor-Stravinsky, 75004, Paris, France · 2Sorbonne Université, 4, place Jussieu, 75005, Paris, France · 3CNRS, 3 rue Michel-Ange, 75016, Paris, France
Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal Processing
May 12, 2026Alex Fulleda-Garcia, Saray Soldado-Magraner, Josep Maria Margarit-TauléSpiking Neural Networks Time-To-First-Spike
Instituto de Microelectrónica de Barcelona (IMB-CNM), Consejo Superior de Investigaciones Cientíﬁcas (CSIC) Cerdanyola del Vallès, Spain · Department of Neurobiology, University of California Los Angeles (UCLA) Los Angeles, USA · Joint Senior authors
Learning Time-Inhomogeneous Markov Dynamics in Financial Time Series via Neural Parameterization
May 6, 2026Jan Rovirosa, Jesse SchmolzeMarkov Neural Dynamics
University of Wisconsin – Madison, Madison, WI, USA
Physics-Modeled Neural Networks
May 5, 2026Raul Felipe-Sosa, Angel Martin del Rey, Maria Flores CeballosNeural Dynamics Neural Ordinary Differential Equations
aDepartamento de Matemáticas, Escuela Politénica Superior, Universidad Nebrija, 28015 Madrid, Spain · bDepartment of Applied Mathematics, IUFFyM, Universidad de Salamanca, 37008 Salamanca, Spain · cUnidad de Excelencia en Luz y Materia Estructuradas (LUMES), Universidad de Salamanca, 37008 Salamanca, Spain
Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
Apr 9, 2026Mingqing Xiao, Yansen Wang, Dongqi Han +2Vision Transformer Neural Dynamics
Microsoft Research Asia
Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems
Mar 22, 2026Frithjof Gressmann, Ivan Georgiev Raikov, Seung Hyun Kim +3Surrogate Gradient Neural Network Optimization
Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL · The Grainer College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL · Department of Neurosurgery, Stanford University, Stanford, CA +3
PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution
Jul 2, 2025Omkar Shende, Gayathri Ananthanarayanan, Marcello TraiolaNeural Network Inference Neural Network
Department of Computer Science and Engineering, Indian Institute of Technology Dharwad, Karnataka, India · University of Rennes, CNRS, Inria, IRISA, Rennes, France
Learning Generalizable Reconstruction of High-Dimensional Neural Dynamics
Date pendingAnima Kujur, Zahra MonfaredNeural Recordings Neural Dynamics
Interdisciplinary Centre for Scientific Computing (IWR) Heidelberg University, Heidelberg, Germany · Department of Mathematics and Computer Science Heidelberg University, Heidelberg, Germany

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Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems

Lulu Gong, Yongxu Zhang, Shreya Saxena

Center for Neurocomputation and Machine Intelligence, Wu Tsai Institute, Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA

Neural Dynamics Timescale Dynamical Systems

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Neural activity often exhibits multiple timescales that can vary with behavioral states and task conditions. Identifying these timescales from neural recordings is important for better understanding neural computation and function. However, traditional approaches based on autocorrelation fitting are difficult to scale to high-dimensional population recordings and can become unreliable when neural dynamics change with behavior. State-space models have been a powerful framework for modeling high-dimensional neural population activity through latent dynamical systems, but standard formulations and inference methods do not explicitly account for multiple timescales and therefore do not guarantee accurate recovery of the underlying temporal structure. Motivated by these questions, we introduce the Multi-Timescale Switching Linear Dynamical System (MTS-SLDS), a framework for identifying regime-specific latent timescales from continuous or spiking neural observations. MTS-SLDS combines a multi-lag moment initialization, which captures temporal structure across multiple observation lags, with \textit{regime-conditioned} Laplace-EM inference, which reduces mixing of dynamical statistics across uncertain regimes. Characteristic timescales can then be extracted directly from the eigenvalues of the learned latent transition matrices. In synthetic and neural experiments with Gaussian and Poisson spike observations, MTS-SLDS accurately recovers timescales and switching structure over multiple datasets.

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Latest papers 38