Sophie M. Deneve

Bayesian statistics
"Sophie Deneve"
Mean distance: 13.56 (cluster 17)


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Alexandre Pouget grad student 2002 Rochester
 (Optimal estimations and computations with population codes by interconnected cortical networks.)


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Pierre Baraduc collaborator
Sandrine Duverne collaborator 2010-2016 ENS / INSERM
BETA: Related publications


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Leptourgos P, Notredame CE, Eck M, et al. (2020) Circular inference in bistable perception. Journal of Vision. 20: 12
Brendel W, Bourdoukan R, Vertechi P, et al. (2020) Learning to represent signals spike by spike. Plos Computational Biology. 16: e1007692
Zeldenrust F, de Knecht S, Wadman WJ, et al. (2017) Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in Computational Neuroscience. 11: 49
Chalk M, Masset P, Gutkin B, et al. (2017) Sensory noise predicts divisive reshaping of receptive fields. Plos Computational Biology. 13: e1005582
Denève S, Alemi A, Bourdoukan R. (2017) The Brain as an Efficient and Robust Adaptive Learner. Neuron. 94: 969-977
Denève S, Machens CK. (2016) Efficient codes and balanced networks. Nature Neuroscience. 19: 375-82
Notredame CE, Pins D, Deneve S, et al. (2014) What visual illusions teach us about schizophrenia. Frontiers in Integrative Neuroscience. 8: 63
Savin C, Deneve S. (2014) Spatio-temporal representations of uncertainty in spiking neural networks Advances in Neural Information Processing Systems. 3: 2024-2032
Boerlin M, Machens CK, Denève S. (2013) Predictive coding of dynamical variables in balanced spiking networks. Plos Computational Biology. 9: e1003258
Jardri R, Denève S. (2013) Circular inferences in schizophrenia. Brain : a Journal of Neurology. 136: 3227-41
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