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On the Spontaneous Dynamics of Synaptic Weights in Stochastic Models with Pair-Based STDP

Gaëtan Vignoud , Philippe Robert
Physical Review E , In press, 105 (5), pp.054405. ⟨10.48550/arXiv.2111.07919⟩
Journal articles hal-03430167v1

Averaging Principles for Markovian Models of Plasticity

Philippe Robert , Gaëtan Vignoud
Journal of Statistical Physics, 2021, 183 (3), pp.47--90. ⟨10.1007/s10955-021-02785-3⟩
Journal articles hal-02973366v1
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environmental enrichment shapes striatal spike-timing-dependent plasticity in vivo

Teresa Morera-Herreras , Gaëtan Vignoud , Sylvie Perez , Yves Gioanni , Laurent Venance
Scientific Reports, 2019, 9, pp.19451. ⟨10.1038/s41598-019-55842-z⟩
Journal articles hal-02876692v1
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Interplay of multiple pathways and activity- dependent rules in STDP

Gaëtan Vignoud , Laurent Venance , Jonathan D Touboul
PLoS Computational Biology, 2018, 14 (8), pp.e1006184. ⟨10.1371/journal.pcbi.1006184⟩
Journal articles inserm-02146112v1

Stochastic Models of Neural Plasticity

Philippe Robert , Gaëtan Vignoud
SIAM Journal on Applied Mathematics, 2021, 81 (5), pp.1821-1846. ⟨10.48550/arXiv.2010.08195⟩
Journal articles hal-02973362v1

A Palm Space Approach to Non-Linear Hawkes Processes

Philippe Robert , Gaëtan Vignoud
2022
Preprints, Working Papers, ... hal-03911583v1

Stochastic Models of Neural Plasticity: A Scaling Approach

Philippe Robert , Gaëtan Vignoud
SIAM Journal on Applied Mathematics, 2021, 81 (6), pp.2362--2386. ⟨10.1137/20M1382891⟩
Journal articles hal-03256017v1
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Synaptic plasticity in stochastic neuronal networks

Gaëtan Vignoud
Probability [math.PR]. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS068⟩
Theses tel-03640150v2