frederic chavane

Affiliations: 
CNRS, Paris, Île-de-France, France 
Area:
visual system, motion integration
Website:
http://incm.cnrs-mrs.fr/pperso/fchavane.php
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"frederic chavane"
Mean distance: 13.46 (cluster 29)
 
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Publications

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Boutin V, Franciosini A, Chavane F, et al. (2021) Sparse deep predictive coding captures contour integration capabilities of the early visual system. Plos Computational Biology. 17: e1008629
Blaize K, Arcizet F, Gesnik M, et al. (2020) Functional ultrasound imaging of deep visual cortex in awake nonhuman primates. Proceedings of the National Academy of Sciences of the United States of America
Beylerian M, Hess RF, Matonti F, et al. (2020) Interocular suppressive interactions in amblyopia depend on spatial frequency. Vision Research. 168: 18-28
Hugo J, Chavane F, Beylerian M, et al. (2020) Morphologic Analysis of Peripapillary Retinal Arteriole Using Adaptive Optics in Primary Open-angle Glaucoma. Journal of Glaucoma
Bourbousson M, Racicot I, Muslimov ER, et al. (2020) Imaging multiple cortical areas with high spatio-temporal resolution using innovative wide-field imaging system Neurophotonics. 11360: 1136002
Sauvan L, Stolowy N, Denis D, et al. (2019) Contribution of Short-Time Occlusion of the Amblyopic Eye to a Passive Dichoptic Video Treatment for Amblyopia beyond the Critical Period. Neural Plasticity. 2019: 6208414
Chemla S, Reynaud A, di Volo M, et al. (2019) Suppressive traveling waves shape representations of illusory motion in primary visual cortex of awake primate. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Muller L, Chavane F, Reynolds J, et al. (2018) Cortical travelling waves: mechanisms and computational principles. Nature Reviews. Neuroscience
Zerlaut Y, Chemla S, Chavane F, et al. (2017) Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Journal of Computational Neuroscience
Chemla S, Muller L, Reynaud A, et al. (2017) Improving voltage-sensitive dye imaging: with a little help from computational approaches. Neurophotonics. 4: 031215
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