Jérémie Mattout
Affiliations: | Universite Lyon 1, Villeurbanne, Auvergne-Rhône-Alpes, France |
Area:
Brain-computer interfaces (BCI), Electrophysiology, Perceptual decision-making, Contextual dependent learning, Adaptive design optimization, Hypothesis testing, Generative models, Cognitive neuroscienceGoogle:
"Jérémie Mattout"Mean distance: (not calculated yet)
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Publications
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| Sapey-Triomphe LA, Sanchez G, Hénaff MA, et al. (2023) Disentangling sensory precision and prior expectation of change in autism during tactile discrimination. Npj Science of Learning. 8: 54 |
| Lecaignard F, Bertrand O, Caclin A, et al. (2021) Neurocomputational underpinnings of expected surprise. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Lecaignard F, Bertrand O, Caclin A, et al. (2020) Empirical Bayes evaluation of fused EEG-MEG source reconstruction: Application to auditory mismatch evoked responses. Neuroimage. 117468 |
| Bonaiuto JJ, Afdideh F, Ferez M, et al. (2020) Estimates of cortical column orientation improve MEG source inversion. Neuroimage. 116862 |
| Mladenovic J, Frey J, Joffily M, et al. (2019) Active inference as a unifying, generic and adaptive framework for a P300-based BCI. Journal of Neural Engineering |
| Medeiros de Freitas A, Sanchez G, Lecaignard F, et al. (2019) EEG artifact correction strategies for online trial-by-trial analysis. Journal of Neural Engineering |
| Batail JM, Bioulac S, Cabestaing F, et al. (2019) EEG neurofeedback research: A fertile ground for psychiatry? L'Encephale. 45: 245-255 |
| Hincapié AS, Kujala J, Mattout J, et al. (2017) The impact of MEG source reconstruction method on source-space connectivity estimation: A comparison between minimum-norm solution and beamforming. Neuroimage |
| Sanchez G, Lecaignard F, Otman A, et al. (2016) Active SAmpling Protocol (ASAP) to Optimize Individual Neurocognitive Hypothesis Testing: A BCI-Inspired Dynamic Experimental Design. Frontiers in Human Neuroscience. 10: 347 |
| Hincapié AS, Kujala J, Mattout J, et al. (2016) MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters. Computational Intelligence and Neuroscience. 2016: 3979547 |