Browse by UCL people
Group by: Type | Date
Number of items: 8.
Article
Fonte, Claudia;
Schmutz, Valentin;
(2022)
Long Time Behavior of an Age- and Leaky Memory-Structured Neuronal Population Equation.
SIAM Journal on Mathematical Analysis
, 54
(4)
pp. 4721-4756.
10.1137/21m1428571.
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Pietras, Bastian;
Schmutz, Valentin;
Schwalger, Tilo;
(2022)
Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.
PLOS Computational Biology
, 18
(12)
, Article e1010809. 10.1371/journal.pcbi.1010809.
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Schmutz, Valentin;
(2022)
Mean-field limit of age and leaky memory dependent Hawkes processes.
Stochastic Processes and their Applications
, 149
pp. 39-59.
10.1016/j.spa.2022.03.006.
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Schmutz, Valentin;
Brea, Johanni;
Gerstner, Wulfram;
(2025)
Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking Neurons.
Physical Review Letters
, 134
(1)
, Article 018401. 10.1103/physrevlett.134.018401.
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Schmutz, Valentin;
Gerstner, Wulfram;
Schwalger, Tilo;
(2020)
Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity.
The Journal of Mathematical Neuroscience
, 10
, Article 5. 10.1186/s13408-020-00082-z.
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Schmutz, Valentin;
Löcherbach, Eva;
Schwalger, Tilo;
(2023)
On a Finite-Size Neuronal Population Equation.
SIAM Journal on Applied Dynamical Systems
, 22
(2)
pp. 996-1029.
10.1137/21m1445041.
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Proceedings paper
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Wang, Shuqi;
Schmutz, Valentin;
Bellec, Guillaume;
Gerstner, Wulfram;
(2022)
Mesoscopic modeling of hidden spiking neurons.
In: Koyejo, Sanmi and Mohamed, Shakir and Agarwal, Alekh and Belgrave, Danielle and Cho, Kyunghyun and Oh, Alice, (eds.)
Proceedings of the Advances in Neural Information Processing Systems 35 (NeurIPS 2022).
NeurIPS
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Thesis
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Schmutz, Valentin;
(2022)
Taming neuronal noise with large networks.
Doctoral thesis (Ph.D), École Polytechnique Fédérale de Lausanne.
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