Latest Research in Neural dynamics and brain function

Top Research Topics in Neural dynamics and brain function

• Machine Learning — 19 papers
• Chaos control and synchronization — 9 papers
• Numerical Analysis — 3 papers
• Neural dynamics and brain function — 3 papers
• Model Reduction and Neural Networks — 3 papers
• Statistical Mechanics and Entropy — 2 papers
• Computer Vision and Pattern Recognition — 2 papers
• Advanced Image Fusion Techniques — 2 papers
• Chaotic Dynamics — 2 papers
• Optimization and Control — 2 papers

Highest-Cited Papers

1. Multi-scroll Hamiltonian conservative chaotic and hyperchaotic flows based on integrated 4D Euler equations
2. Traveling Wave Solutions for the FitzHugh-Nagumo Model
3. Neural Langevin Machine: a local asymmetric learning rule can be creative
4. Hankel-Christoffel-Nevai Screening of Posterior Relevance in Bayesian Inverse Problems
5. On Dominant Manifolds in Reservoir Computing Networks
6. Structural Inference under Hidden Agents
7. Training Energy-Based Models with Non-MCMC Samplers and Efficient Temperature Estimation
8. Empirical Tail-Latency Characterization of GPU-Accelerated 5G NR LDPC Decoding
9. A Double-Memristor Hopfield Neural Network with Complex Dynamics and Its Application
10. The Cost of Long Memory: State, Context, and Stability Complexity in Sequence Models
11. The Cost of Long Memory: State, Context, and Stability Complexity in Sequence Models
12. A Review of Image Encryption Driven by Fractional-Order Neural Network Models
13. A provably convergent MM-GKS variant for large-scale inverse problems
14. A variational mollification approach to circular deconvolution
15. A Globally Convergent Algorithm for Total Scaled-Gradient Variation via Cone-Constrained Bilinear Decomposition
16. Generative models for simulation based filtering: Formulations and Empirical Comparisons
17. SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions
18. E8‑Phi Resonant Lattice (EPRL) Enables Multi‑Scale Neural Hypergraph Coupling — E8 Intelligence Research
19. Coupled Scaling: A Representational Accessibility Framework for Neural Scaling Laws
20. Spectral Reconstruction Function: Spectral Complexity and Its Connection to Barron Norms