A dynamical system approach to modeling neural network activity in Drosophila orientation
Fuente:
arXiv
Guardado en:
| Autores principales: | Ismail, S., Ambrosio, B., Aziz-Alaoui, M. A., Souleiman, Y. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Mathematical Framework for Epidemic Dynamics: Optimal Control and Global Sensitivity Analysis
por: Ismail, Liban, et al.
Publicado: (2025)
por: Ismail, Liban, et al.
Publicado: (2025)
Control of dynamical systems with neural networks
por: Böttcher, Lucas
Publicado: (2025)
por: Böttcher, Lucas
Publicado: (2025)
How to discretize continuous state-action spaces in Q-learning: A symbolic control approach
por: Alaoui, Sadek Belamfedel, et al.
Publicado: (2024)
por: Alaoui, Sadek Belamfedel, et al.
Publicado: (2024)
A reaction network approach to modeling carbon dioxide removal systems
por: Fortun, Noel, et al.
Publicado: (2024)
por: Fortun, Noel, et al.
Publicado: (2024)
Decomposing heterogeneous dynamical systems with graph neural networks
por: Allier, Cédric, et al.
Publicado: (2024)
por: Allier, Cédric, et al.
Publicado: (2024)
Piecewise Recursive Sequences with Adaptive Thresholds : Boundary Convergence and Applications
por: Valenti, Slimane Alaoui Soulimani
Publicado: (2025)
por: Valenti, Slimane Alaoui Soulimani
Publicado: (2025)
Explicit construction of recurrent neural networks effectively approximating discrete dynamical systems
por: Nakayama, Chikara, et al.
Publicado: (2024)
por: Nakayama, Chikara, et al.
Publicado: (2024)
Synchrony in firing rate neural networks with multiple delays: A harmonic balance approach
por: Coombes, S, et al.
Publicado: (2025)
por: Coombes, S, et al.
Publicado: (2025)
On the attractor in a high-dimensional neural network dynamics of reservoir computing: Lyapunov analysis viewpoint
por: Kobayashi, Miki U., et al.
Publicado: (2025)
por: Kobayashi, Miki U., et al.
Publicado: (2025)
Deficiency of equation-finding approach to data-driven modeling of dynamical systems
por: Zhai, Zheng-Meng, et al.
Publicado: (2025)
por: Zhai, Zheng-Meng, et al.
Publicado: (2025)
Recovering the state and dynamics of autonomous system with partial states solution using neural networks
por: Kag, Vijay
Publicado: (2024)
por: Kag, Vijay
Publicado: (2024)
A multiscale differential‐algebraic neural network‐based method for learning dynamical systems
por: Yin Huang, et al.
Publicado: (2024)
por: Yin Huang, et al.
Publicado: (2024)
Collective dynamics in spiking neural networks: A systematic review
por: Afifurrahman, et al.
Publicado: (2024)
por: Afifurrahman, et al.
Publicado: (2024)
A Hamiltonian approach for point vortices on non-orientable surfaces
por: Balabanova, Nataliya A., et al.
Publicado: (2022)
por: Balabanova, Nataliya A., et al.
Publicado: (2022)
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
por: Linares, Maximino, et al.
Publicado: (2026)
por: Linares, Maximino, et al.
Publicado: (2026)
Reviving networked multi-dimensional dynamical systems
por: Dong, Nan, et al.
Publicado: (2025)
por: Dong, Nan, et al.
Publicado: (2025)
An output scaling layer boosts deep neural networks for multiscale ODE systems
por: Yi, Yuxiao, et al.
Publicado: (2025)
por: Yi, Yuxiao, et al.
Publicado: (2025)
On the dynamic behavior of the network SIR epidemic model
por: Alutto, Martina, et al.
Publicado: (2023)
por: Alutto, Martina, et al.
Publicado: (2023)
Recurrent neural chemical reaction networks that approximate arbitrary dynamics
por: Dack, Alexander, et al.
Publicado: (2024)
por: Dack, Alexander, et al.
Publicado: (2024)
SINDybrid: automatic generation of hybrid models for dynamic systems
por: Di Caprio, Ulderico, et al.
Publicado: (2025)
por: Di Caprio, Ulderico, et al.
Publicado: (2025)
A review of shape-morphing solutions and evolutional neural networks for spatiotemporal dynamics
por: Farazmand, Mohammad
Publicado: (2026)
por: Farazmand, Mohammad
Publicado: (2026)
Generic controllability of equivariant systems and applications to particle systems and neural networks
por: Agrachev, Andrei, et al.
Publicado: (2024)
por: Agrachev, Andrei, et al.
Publicado: (2024)
Computer-aided analysis of high-dimensional Glass networks: periodicity, chaos, and bifurcations in a ring circuit
por: Belgacem, Ismail, et al.
Publicado: (2024)
por: Belgacem, Ismail, et al.
Publicado: (2024)
A framework for using Theory of Constraints thinking processes and tools to complement qualitative system dynamics modelling
por: Victoria J. Mabin, et al.
Publicado: (2024)
por: Victoria J. Mabin, et al.
Publicado: (2024)
Controlled oscillation modeling using port-Hamiltonian neural networks
por: Linares, Maximino, et al.
Publicado: (2026)
por: Linares, Maximino, et al.
Publicado: (2026)
Physics-informed neural networks for aggregation kinetics
por: Mukhamedova, Farzona, et al.
Publicado: (2024)
por: Mukhamedova, Farzona, et al.
Publicado: (2024)
On the dynamic behavior of the network SIRS epidemic model
por: Gatti, Giulia, et al.
Publicado: (2026)
por: Gatti, Giulia, et al.
Publicado: (2026)
What is the graph of a dynamical system?
por: Adwani, Chirag, et al.
Publicado: (2024)
por: Adwani, Chirag, et al.
Publicado: (2024)
A concept of antifragility for dynamical systems
por: Sontag, Eduardo D.
Publicado: (2024)
por: Sontag, Eduardo D.
Publicado: (2024)
Non-intrusive model combination for learning dynamical systems
por: Wu, Shiqi, et al.
Publicado: (2023)
por: Wu, Shiqi, et al.
Publicado: (2023)
About identifiability and observability for a class of dynamical systems
por: Kubik, Alicja B, et al.
Publicado: (2024)
por: Kubik, Alicja B, et al.
Publicado: (2024)
Data-driven reconstruction of chaotic dynamical equations: the Hénon-Heiles type system
por: Escobar-Ruiz, A. M., et al.
Publicado: (2023)
por: Escobar-Ruiz, A. M., et al.
Publicado: (2023)
Disrupting the scammer lifecycle: A dynamically-consistent numerical analysis of a compartment model for scam-victim dynamics
por: Tijani, Y. O., et al.
Publicado: (2025)
por: Tijani, Y. O., et al.
Publicado: (2025)
NN-OpInf: an operator inference approach using structure-preserving composable neural networks
por: Parish, Eric, et al.
Publicado: (2026)
por: Parish, Eric, et al.
Publicado: (2026)
Recurrent neural chemical reaction networks trained to switch dynamical behaviours through learned bifurcations
por: Dack, Alexander, et al.
Publicado: (2026)
por: Dack, Alexander, et al.
Publicado: (2026)
Degree-of-freedom and optimization-dynamic effects on the observability of Kuramoto-Sivashinsky systems
por: Frank, Noah B., et al.
Publicado: (2025)
por: Frank, Noah B., et al.
Publicado: (2025)
Learning the climate of dynamical systems with state-space systems
por: Louw, James Murray, et al.
Publicado: (2025)
por: Louw, James Murray, et al.
Publicado: (2025)
Sustained Limit Cycles in the Logistic Two-Gene Genetic Oscillator: A Delay-Driven Hopf Bifurcation
por: Belgacem, Ismail
Publicado: (2026)
por: Belgacem, Ismail
Publicado: (2026)
Beyond Linear Additive and Hill Functions: A General Logistic Reformulation of Delay-Coupled Gene Regulatory Networks with Equilibrium Analysis, Hopf Bifurcation, and Lipschitz Stability
por: Belgacem, Ismail
Publicado: (2026)
por: Belgacem, Ismail
Publicado: (2026)
Observer-based neural networks for flow estimation and control
por: Déda, Tarcísio C., et al.
Publicado: (2025)
por: Déda, Tarcísio C., et al.
Publicado: (2025)
Ejemplares similares
-
Mathematical Framework for Epidemic Dynamics: Optimal Control and Global Sensitivity Analysis
por: Ismail, Liban, et al.
Publicado: (2025) -
Control of dynamical systems with neural networks
por: Böttcher, Lucas
Publicado: (2025) -
How to discretize continuous state-action spaces in Q-learning: A symbolic control approach
por: Alaoui, Sadek Belamfedel, et al.
Publicado: (2024) -
A reaction network approach to modeling carbon dioxide removal systems
por: Fortun, Noel, et al.
Publicado: (2024) -
Decomposing heterogeneous dynamical systems with graph neural networks
por: Allier, Cédric, et al.
Publicado: (2024)