Table des matières
Neurosciences computationnelles
Comptes rendus 2018
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Comptes rendus 2017
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* **Predictive coding** (Samuel CHARTRER, Victor KEMMOUN) : {{public:neuroscience_chartrer_kemmoun.pdf}}
* **Deep Learning** (Laura FRANKE, Pauline DAME, Étienne GAUTIER, Guilherme MEIRELLES BODIN DE MORAES) {{public:neurosciencesetapprentissage_final.pdf}}
* **Variabilité synaptique et théorie de l'information** (Yue WU, Hao JIANG, Benjamin HABIE, Thomas JOUIN){{public:neuroscienceswujianghabiejouin.pdf}}
* **Algorithme TAGGER** (Quentin LENET, Elliot DREES, Jérémie BOULIC, Zhengliang MU) {{public:rapport_neuro_lenet_drees_boulic_mu.pdf}}
* **Modèle "Neural Field"** (Yoann GORCE, Benjamin MAILLARD, Simon SAUVESTRE, Clément SEVY, Romain THOYER) {{public:redo-neuralfields.pdf}}
* **Non-negative Matrix factorization** (Xi CHEN, Yu CHEN, Han KE , Guodong LI) {{public:yu_xi_guodong_han_rapport_de_neurosciences.pdf}}
* **Saccades oculaires** (Thomas MICHAUD, Alexis MARION, Arnaud VENET, Adrien POTTIER) {{public:resume_article_saccades_occulaires.pdf}}
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