Guardado en:
| Autores principales: | Wang, Zhongyi, Tao, Louis, Xiao, Zhuo-Cheng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2505.08254 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Minimizing information loss reduces spiking neuronal networks to differential equations
por: Chang, Jie, et al.
Publicado: (2024)
por: Chang, Jie, et al.
Publicado: (2024)
Backward Stochastic Differential Equations-guided Generative Model for Structural-to-functional Neuroimage Translator
por: Chen, Zengjing, et al.
Publicado: (2025)
por: Chen, Zengjing, et al.
Publicado: (2025)
Retrieving the structure of probabilistic sequences from EEG data during the goalkeeper game
por: Cabral-Passos, P. R., et al.
Publicado: (2025)
por: Cabral-Passos, P. R., et al.
Publicado: (2025)
A Quasi-Stationary Approach to Metastability in a System of Spiking Neurons with Synaptic Plasticity
por: Pouzat, Christophe, et al.
Publicado: (2024)
por: Pouzat, Christophe, et al.
Publicado: (2024)
A generalized neural tangent kernel for surrogate gradient learning
por: Eilers, Luke, et al.
Publicado: (2024)
por: Eilers, Luke, et al.
Publicado: (2024)
Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting
por: Guillemaud, Martin, et al.
Publicado: (2024)
por: Guillemaud, Martin, et al.
Publicado: (2024)
Learning biological neuronal networks with artificial neural networks: neural oscillations
por: Zhang, Ruilin, et al.
Publicado: (2022)
por: Zhang, Ruilin, et al.
Publicado: (2022)
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data
por: Catal, Yasir, et al.
Publicado: (2025)
por: Catal, Yasir, et al.
Publicado: (2025)
Low-dimensional representation of brain networks for seizure risk forecasting
por: Rico-Aparicio, Steven, et al.
Publicado: (2025)
por: Rico-Aparicio, Steven, et al.
Publicado: (2025)
Applications of Random Matrix Theory in Machine Learning and Brain Mapping
por: Lawrence, Katrina
Publicado: (2025)
por: Lawrence, Katrina
Publicado: (2025)
Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain Environments
por: Barendregt, Nicholas W., et al.
Publicado: (2025)
por: Barendregt, Nicholas W., et al.
Publicado: (2025)
Spiking Neural Models for Decision-Making Tasks with Learning
por: Jaffard, Sophie, et al.
Publicado: (2025)
por: Jaffard, Sophie, et al.
Publicado: (2025)
Synaptic Classification via Spike-Triggered Extrapolation
por: De Santis, Emilio
Publicado: (2026)
por: De Santis, Emilio
Publicado: (2026)
The Hydrodynamic Limit of Neural Networks with Balanced Excitation and Inhibition
por: MacLaurin, James, et al.
Publicado: (2024)
por: MacLaurin, James, et al.
Publicado: (2024)
Upper bounds for integrated information
por: Zaeemzadeh, Alireza, et al.
Publicado: (2023)
por: Zaeemzadeh, Alireza, et al.
Publicado: (2023)
Neural Fields and Noise-Induced Patterns in Neurons on Large Disordered Networks
por: Avitabile, Daniele, et al.
Publicado: (2024)
por: Avitabile, Daniele, et al.
Publicado: (2024)
Topological Time Frequency Analysis of Functional Brain Signals
por: Chung, Moo K., et al.
Publicado: (2025)
por: Chung, Moo K., et al.
Publicado: (2025)
State and Parameter Estimation for a Neural Model of Local Field Potentials
por: Avitabile, Daniele, et al.
Publicado: (2025)
por: Avitabile, Daniele, et al.
Publicado: (2025)
Are EEG functional networks really describing the brain? A comparison with other information-processing complex systems
por: Gil-Rodrigo, Sofia, et al.
Publicado: (2024)
por: Gil-Rodrigo, Sofia, et al.
Publicado: (2024)
Uncovering dynamical equations of stochastic decision models using data-driven SINDy algorithm
por: Lenfesty, Brendan, et al.
Publicado: (2024)
por: Lenfesty, Brendan, et al.
Publicado: (2024)
Modularity, Hierarchical Flows and Symmetry of the Drosophila Connectome
por: Grindrod, Peter, et al.
Publicado: (2024)
por: Grindrod, Peter, et al.
Publicado: (2024)
Mapping effective connectivity by virtually perturbing a surrogate brain
por: Luo, Zixiang, et al.
Publicado: (2022)
por: Luo, Zixiang, et al.
Publicado: (2022)
Coherent dynamics in soft-threshold integrate-and-fire networks
por: Forbes, Lauren, et al.
Publicado: (2025)
por: Forbes, Lauren, et al.
Publicado: (2025)
Exact Variance and Fano Factor for Arbitrary Level Crossings in Stationary Gaussian Processes
por: Rawat, Shivang, et al.
Publicado: (2026)
por: Rawat, Shivang, et al.
Publicado: (2026)
Emergent rate-based dynamics in duplicate-free populations of spiking neurons
por: Schmutz, Valentin, et al.
Publicado: (2023)
por: Schmutz, Valentin, et al.
Publicado: (2023)
Linear and non-linear integrate-and-fire neurons driven by synaptic shot noise with reversal potentials
por: Richardson, Magnus J E
Publicado: (2024)
por: Richardson, Magnus J E
Publicado: (2024)
Functionalist Emotion Modeling in Biomimetic Reinforcement Learning
por: Wang, Louis
Publicado: (2025)
por: Wang, Louis
Publicado: (2025)
Complex non-Markovian dynamics and the dual role of astrocytes in Alzheimer's disease development and propagation
por: Pal, Swadesh, et al.
Publicado: (2022)
por: Pal, Swadesh, et al.
Publicado: (2022)
Fluctuation-response relations and response-response relations for membrane voltage and spike train of stochastic integrate-and-fire neurons
por: Klett, Kolja, et al.
Publicado: (2025)
por: Klett, Kolja, et al.
Publicado: (2025)
Active inference and artificial reasoning
por: Friston, Karl, et al.
Publicado: (2025)
por: Friston, Karl, et al.
Publicado: (2025)
Assessing the similarity of real matrices with arbitrary shape
por: Albers, Jasper, et al.
Publicado: (2024)
por: Albers, Jasper, et al.
Publicado: (2024)
Hypergraphs from multivariate connectivity: caCoh-based EEG/MEG representation
por: Vlasenko, Daniil, et al.
Publicado: (2026)
por: Vlasenko, Daniil, et al.
Publicado: (2026)
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
por: Li, Weihan, et al.
Publicado: (2024)
por: Li, Weihan, et al.
Publicado: (2024)
Artificial intelligence as a surrogate brain: Bridging neural dynamical models and data
por: Zhang, Yinuo, et al.
Publicado: (2025)
por: Zhang, Yinuo, et al.
Publicado: (2025)
Thermodynamic constraints on neural dimensions, firing rates, brain temperature and size
por: Karbowski, Jan
Publicado: (2009)
por: Karbowski, Jan
Publicado: (2009)
Exact low-dimensional description for fast neural oscillations with low firing rates
por: Clusella, Pau, et al.
Publicado: (2022)
por: Clusella, Pau, et al.
Publicado: (2022)
Spatiotemporal bursting in simulated cultures of cortical neurons
por: Stiber, Michael, et al.
Publicado: (2026)
por: Stiber, Michael, et al.
Publicado: (2026)
Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks
por: Bittar, Alexandre, et al.
Publicado: (2024)
por: Bittar, Alexandre, et al.
Publicado: (2024)
Hyperbolic embedding of multilayer networks
por: Guillemaud, Martin, et al.
Publicado: (2025)
por: Guillemaud, Martin, et al.
Publicado: (2025)
Mean-field analysis of a neural network with stochastic STDP
por: Helson, Pascal, et al.
Publicado: (2025)
por: Helson, Pascal, et al.
Publicado: (2025)
Ejemplares similares
-
Minimizing information loss reduces spiking neuronal networks to differential equations
por: Chang, Jie, et al.
Publicado: (2024) -
Backward Stochastic Differential Equations-guided Generative Model for Structural-to-functional Neuroimage Translator
por: Chen, Zengjing, et al.
Publicado: (2025) -
Retrieving the structure of probabilistic sequences from EEG data during the goalkeeper game
por: Cabral-Passos, P. R., et al.
Publicado: (2025) -
A Quasi-Stationary Approach to Metastability in a System of Spiking Neurons with Synaptic Plasticity
por: Pouzat, Christophe, et al.
Publicado: (2024) -
A generalized neural tangent kernel for surrogate gradient learning
por: Eilers, Luke, et al.
Publicado: (2024)