Image de couverture de livre

Replica Mean Field limits for neural networks with excitatory and inhibitory activity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Papageorgiou, Ioannis
Format:	Preprint
Publié:	2024
Sujets:	Probability
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Interacting systems of infinite spiking neurons with weights beyond uniform summability
par: Papageorgiou, Ioannis
Publié: (2019)

On the Discontinuous Breaking of Replica Symmetry and Shattering in Mean-Field Spin Glasses
par: Auffinger, Antonio, et autres
Publié: (2025)

Competition, stability, and functionality in excitatory-inhibitory neural circuits
par: Betteti, Simone, et autres
Publié: (2025)

Mean-field solution of the neural dynamics in a Greenberg-Hastings model with excitatory and inhibitory units
par: Almeira, Joaquin, et autres
Publié: (2023)

Mean-field limit for activated random walk on the integer lattice
par: Junge, Matthew, et autres
Publié: (2025)

Student-t processes as infinite-width limits of posterior Bayesian neural networks
par: Caporali, Francesco, et autres
Publié: (2025)

Tricritical behavior in a neural model with excitatory and inhibitory units
par: Almeira, Joaquin, et autres
Publié: (2022)

The log-Sobolev inequality for spin systems of higher order interactions
par: Konstantopoulos, Takis, et autres
Publié: (2019)

Mean-field limit from general mixtures of experts to quantum neural networks
par: Hernandez, Anderson Melchor, et autres
Publié: (2025)

Mean Field Backward Stochastic Differential Equations with Double Mean Reflections
par: Li, Hanwu, et autres
Publié: (2025)

Sequential chaotic oscillations in excitatory-inhibitory threshold-linear networks
par: Zang, Jie, et autres
Publié: (2026)

Mean-field analysis of a neural network with stochastic STDP
par: Helson, Pascal, et autres
Publié: (2025)

Mean-Field Backward Stochastic Differential Equations with Nonlinear Resistance and Double Mean Reflections
par: Li, Hanwu, et autres
Publié: (2026)

Mean field analysis of interacting network model with jumps
par: Li, Zeqian
Publié: (2024)

Large Deviations for Slow-Fast Mean-Field Diffusions
par: Hong, Wei, et autres
Publié: (2025)

Replica-mean-field limit of continuous-time fragmentation-interaction-aggregation processes
par: Davydov, Michel
Publié: (2023)

Mean-field limit of non-exchangeable systems
par: Jabin, Pierre-Emmanuel, et autres
Publié: (2021)

Mean-field limit of particle systems with absorption
par: Guo, Gaoyue, et autres
Publié: (2023)

Accuracy of the Graphon Mean Field Approximation for Interacting Particle Systems
par: Allmeier, Sebastian, et autres
Publié: (2024)

Mean Field Stochastic Partial Differential Equations with Nonlinear Kernels
par: Hong, Wei, et autres
Publié: (2025)

Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks
par: Shao, Yuxiu, et autres
Publié: (2024)

Role of chloride concentration in modulating seizure transitions in excitatory and inhibitory networks
par: Gong, Qianchen, et autres
Publié: (2026)

Mean Field Games with Reflected Dynamics
par: Jarni, Imane, et autres
Publié: (2025)

Holographic functions and neural networks
par: Szegedy, Balazs
Publié: (2026)

Convergence Rate for Moderate Interaction particles and Application to Mean Field Games
par: Knorst, Josué, et autres
Publié: (2024)

Regularity of the Value Function in Discounted Infinite-Time Mean Field Games
par: Song, Yongsheng, et autres
Publié: (2026)

Mean Field Games with Reflected Dynamics: Penalization and Relaxed Control Approach
par: Laayoun, Ayoub, et autres
Publié: (2026)

Sampling from Mean-Field Gibbs Measures via Diffusion Processes
par: Alaoui, Ahmed El, et autres
Publié: (2023)

Mean field limits of a class of conservative systems with position-dependent transition rates
par: Xue, Xiaofeng
Publié: (2024)

Large population limits of Markov processes on random networks
par: Lücke, Marvin, et autres
Publié: (2022)

On Discounted Infinite-Time Mean Field Games
par: Song, Yongsheng, et autres
Publié: (2025)

Regularity of Solutions of Mean-Field $G$-SDEs
par: Bollweg, Karl-Wilhelm Georg, et autres
Publié: (2025)

Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation
par: Jentzen, Arnulf, et autres
Publié: (2021)

Mean-Field Games with Constraints
par: Hu, Anran, et autres
Publié: (2025)

Convergence of Actor-Critic Learning for Mean Field Games and Mean Field Control in Continuous Spaces
par: Fouque, Jean-Pierre, et autres
Publié: (2025)

The Larkin Mass and Replica Symmetry Breaking in the Elastic Manifold
par: Arous, Gerard Ben, et autres
Publié: (2024)

The Lions Derivative in Infinite Dimensions -- Application to Higher Order Expansion of Mean-Field SPDEs
par: Vogler, Alexander, et autres
Publié: (2024)

Mean-Field SDEs driven by $G$-Brownian Motion
par: Bollweg, Karl-Wilhelm Georg, et autres
Publié: (2024)

Finite State Mean Field Games with Common Shocks
par: Neumann, Berenice Anne, et autres
Publié: (2024)

Uniqueness of Replica-symmetric Saddle Point for Ising Perceptron
par: Nakajima, Shuta
Publié: (2025)