Presentation of the T1B 2023 : "Random Processes in the Brain"

Imagery and motor performance on sequence learning

De André Frazao Helene

Galves-Löcherbach model and the conditional propagation of chaos

De Dasha Loukianova

Neurobiology for mathematicians - Part 1

De Christophe Pouzat

Neurobiology for mathematicians - Part 2

De Christophe Pouzat

Neurobiology for mathematicians - Part 3

De Fernando Araujo Najman , Paulo Passos

Neurobiology for mathematicians - Part 4

De Fernando Araujo Najman , Paulo Passos

Neurobiology for mathematicians - Part 5

De Fernando Araujo Najman , Paulo Passos

Neurobiology for mathematicians - Part 6

De Fernando Araujo Najman , Bia Ramalho dos Santos Lima

Structural learning by the brain - Part 1

De Claudia Vargas

Structural learning by the brain - Part 2

De Aline Duarte

Structural learning by the brain - Part 3

De Aline Duarte

Structural learning by the brain - Part 4

De Marcela Svarc

Structural learning by the brain - Part 5

De Marcela Svarc

Stochastics for neurobiologists - Part 1

De Eva Löcherbach

Stochastics for neurobiologists - Part 2

De Aline Duarte

Stochastics for neurobiologists - Part 3

De Aline Duarte

Stochastics for neurobiologists - Part 4

De Aline Duarte

Stochastics for neurobiologists - Part 5

De Eva Löcherbach

Stochastics for neurobiologists - Part 6

De Eva Löcherbach

Des mathématiques pour mieux comprendre notre cerveau : Des mathématiques au chevet des neurones et des astrocytes

De Gilles Laurent , Olivier Faugeras

Stochastic modeling of neural networks - Part 1

De Christophe Pouzat

Stochastic modeling of neural networks - Part 2

De Christophe Pouzat

Stochastic modeling of neural networks - Part 3

De Antonio Galves

Stochastic modeling of neural networks - Part 4

De Antonio Galves

Stochastic modeling of neural networks - Part 5

De Antonio Galves

Probabilistic spiking neuronal nets-Data, Models and Theorems

De Eva Löcherbach

Exploring the space of neural systems dynamics

De Gilles Laurent