Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Yi, Mihalas, Stefan, Kuśmierz, Łukasz |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hierarchy of chaotic dynamics in random modular networks
by: Kuśmierz, Łukasz, et al.
Published: (2024)
by: Kuśmierz, Łukasz, et al.
Published: (2024)
Modeling Bioelectric State Transitions in Glial Cells: An ASAL-Inspired Computational Approach to Glioblastoma Initiation
by: Pawlak, Wiktoria Agata
Published: (2025)
by: Pawlak, Wiktoria Agata
Published: (2025)
Learn to integrate parts for whole through correlated neural variability
by: Zhu, Zhichao, et al.
Published: (2024)
by: Zhu, Zhichao, et al.
Published: (2024)
Toward stochastic neural computing
by: Qi, Yang, et al.
Published: (2023)
by: Qi, Yang, et al.
Published: (2023)
How connectivity structure shapes rich and lazy learning in neural circuits
by: Liu, Yuhan Helena, et al.
Published: (2023)
by: Liu, Yuhan Helena, et al.
Published: (2023)
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
by: Klos, Christian, et al.
Published: (2023)
by: Klos, Christian, et al.
Published: (2023)
Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
by: Landsmeer, Lennart P. L., et al.
Published: (2025)
by: Landsmeer, Lennart P. L., et al.
Published: (2025)
R-FORCE: Robust Learning for Random Recurrent Neural Networks
by: Zheng, Yang, et al.
Published: (2020)
by: Zheng, Yang, et al.
Published: (2020)
Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay
by: Shimizu, Genki, et al.
Published: (2025)
by: Shimizu, Genki, et al.
Published: (2025)
Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
by: Williams, Ezekiel, et al.
Published: (2026)
by: Williams, Ezekiel, et al.
Published: (2026)
Data-Efficient Neural Training with Dynamic Connectomes
by: Wu, Yutong, et al.
Published: (2025)
by: Wu, Yutong, et al.
Published: (2025)
Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
by: Metzner, Claus, et al.
Published: (2024)
by: Metzner, Claus, et al.
Published: (2024)
A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems
by: Keller, T. Anderson, et al.
Published: (2024)
by: Keller, T. Anderson, et al.
Published: (2024)
Adaptive Decoding via Hierarchical Neural Information Gradients in Mouse Visual Tasks
by: Feng, Jingyi, et al.
Published: (2025)
by: Feng, Jingyi, et al.
Published: (2025)
"What" x "When" working memory representations using Laplace Neural Manifolds
by: Sarkar, Aakash, et al.
Published: (2024)
by: Sarkar, Aakash, et al.
Published: (2024)
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)
by: Huang, Liwei, et al.
Published: (2024)
A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
by: Ahmadvand, Reza, et al.
Published: (2026)
by: Ahmadvand, Reza, et al.
Published: (2026)
Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
by: Bhandarkar, Shaunak, et al.
Published: (2025)
by: Bhandarkar, Shaunak, et al.
Published: (2025)
When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells
by: Yu, Qiaorong S., et al.
Published: (2026)
by: Yu, Qiaorong S., et al.
Published: (2026)
Regime Mapping of Oscillatory States in Balanced Spiking Networks with Multiple Time Scales
by: Kuo, Tsung-Han, et al.
Published: (2026)
by: Kuo, Tsung-Han, et al.
Published: (2026)
A Portable Solution for Simultaneous Human Movement and Mobile EEG Acquisition: Readiness Potentials for Basketball Free-throw Shooting
by: Contreras-Altamirano, Miguel, et al.
Published: (2025)
by: Contreras-Altamirano, Miguel, et al.
Published: (2025)
ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
by: Kriener, Laura, et al.
Published: (2024)
by: Kriener, Laura, et al.
Published: (2024)
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
by: Zhang, Duzhen, et al.
Published: (2024)
by: Zhang, Duzhen, et al.
Published: (2024)
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
by: Huang, Liwei, et al.
Published: (2023)
by: Huang, Liwei, et al.
Published: (2023)
One-shot learning of paired association navigation with biologically plausible schemas
by: Kumar, M Ganesh, et al.
Published: (2021)
by: Kumar, M Ganesh, et al.
Published: (2021)
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
by: Korcsak-Gorzo, Agnes, et al.
Published: (2022)
by: Korcsak-Gorzo, Agnes, et al.
Published: (2022)
A Variational Latent Equilibrium for Learning in Neuronal Circuits
by: Brandt, Simon, et al.
Published: (2026)
by: Brandt, Simon, et al.
Published: (2026)
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
by: Shankar, Sohan, et al.
Published: (2025)
by: Shankar, Sohan, et al.
Published: (2025)
Teaching signal synchronization in deep neural networks with prospective neurons
by: Zucchet, Nicoas, et al.
Published: (2025)
by: Zucchet, Nicoas, et al.
Published: (2025)
Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
by: Granier, Arno, et al.
Published: (2025)
by: Granier, Arno, et al.
Published: (2025)
Analysis of a Spatialized Brain-Body-Environment System
by: Pak, Denizhan, et al.
Published: (2025)
by: Pak, Denizhan, et al.
Published: (2025)
Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism
by: Korcsak-Gorzo, Agnes, et al.
Published: (2025)
by: Korcsak-Gorzo, Agnes, et al.
Published: (2025)
Discovering alternative solutions beyond the simplicity bias in recurrent neural networks
by: Qian, William, et al.
Published: (2025)
by: Qian, William, et al.
Published: (2025)
Emergence of robust looming selectivity via coordinated inhibitory neural computations
by: Fu, Qinbing, et al.
Published: (2025)
by: Fu, Qinbing, et al.
Published: (2025)
The Role of Excitatory Parvalbumin-positive Neurons in the Tectofugal Pathway of Pigeon (Columba livia) Hierarchical Visual Processing
by: Lu, Shan, et al.
Published: (2025)
by: Lu, Shan, et al.
Published: (2025)
Recombinant dynamical systems
by: Kato, Saul
Published: (2025)
by: Kato, Saul
Published: (2025)
Evolution imposes an inductive bias that alters and accelerates learning dynamics
by: Midler, Benjamin, et al.
Published: (2025)
by: Midler, Benjamin, et al.
Published: (2025)
A Practical Guide to Tuning Spiking Neuronal Dynamics
by: Gebhardt, William, et al.
Published: (2025)
by: Gebhardt, William, et al.
Published: (2025)
Multihead self-attention in cortico-thalamic circuits
by: Granier, Arno, et al.
Published: (2025)
by: Granier, Arno, et al.
Published: (2025)
How the Stroop Effect Arises from Optimal Response Times in Laterally Connected Self-Organizing Maps
by: Prabhakaran, Divya, et al.
Published: (2025)
by: Prabhakaran, Divya, et al.
Published: (2025)
Similar Items
-
Hierarchy of chaotic dynamics in random modular networks
by: Kuśmierz, Łukasz, et al.
Published: (2024) -
Modeling Bioelectric State Transitions in Glial Cells: An ASAL-Inspired Computational Approach to Glioblastoma Initiation
by: Pawlak, Wiktoria Agata
Published: (2025) -
Learn to integrate parts for whole through correlated neural variability
by: Zhu, Zhichao, et al.
Published: (2024) -
Toward stochastic neural computing
by: Qi, Yang, et al.
Published: (2023) -
How connectivity structure shapes rich and lazy learning in neural circuits
by: Liu, Yuhan Helena, et al.
Published: (2023)