Publications

de Cheveigné, A. (2019). ZapLine: a simple and effective method to remove power line artifacts. NeuroImage, 207, 116356. doi:10.1016/j.neuroimage.2019.116356

de Cheveigné, A. & Nelken, I. (2019). Filters: When, Why, and How (Not) to Use Them. Neuron, 102(2), 280-293. doi:10.1016/j.neuron.2019.02.039

de Cheveigné, A., Di Liberto, G., Arzounian, D., Wong, D., Hjortkjaer, J., Fuglsang , S. & Parra, L. (2019). Multiway canonical correlation analysis of brain signals. NeuroImage, 186, 728-740. doi:10.1016/j.neuroimage.2018.11.026

de Cheveigné, A., Wong, D., Di Liberto, G., Hjortkjær, J., Slaney, M. & Lalor, E. (2018). Decoding the auditory brain with canonical correlation analysis. NeuroImage, 172, 206-216. doi:10.1016/j.neuroimage.2018.01.033

de Cheveigné, A. & Arzounian, D. (2018). Robust detrending, rereferencing, outlier detection, and inpainting for multichannel data. NeuroImage, In press. doi:10.1016/j.neuroimage.2018.01.035

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation, a versatile tool for multichannel data analysis. NeuroImage, 98, 487-505. doi:10.1016/j.neuroimage.2014.05.068

de Cheveigné, A., Edeline, J., Gaucher, Q. & Gourévitch, B. (2013). Component analysis reveals sharp tuning of the local field potential in the guinea pig auditory cortex. Journal of neurophysiology, 109(1), 261-72. doi:10.1152/jn.00040.2012

de Cheveigné, A. (2012). Quadratic component analysis. NeuroImage, 59(4), 3838-44. doi:10.1016/j.neuroimage.2011.10.084

de Cheveigné, A. & Arzounian, D. (2015). Scanning for oscillations. Journal of neural engineering, 12(6), 066020. doi:10.1088/1741-2560/12/6/066020

de Cheveigné, A. (2016). Sparse time artifact removal. Journal of neuroscience methods, 262, 14-20. doi:10.1016/j.jneumeth.2016.01.005

Daniele, G. , Lunghi, C., Dardano, A. , Binda, P. , Ceccarini, G., Ferruccio, S. , Giusti, L. , Ciccarone, A. , Bellini, R. , Moretto, C. , Maria Concetta, M. & Del Prato, S. (2021). Bariatric surgery restores visual cortical plasticity in nondiabetic subjects with obesity. International Journal of Obesity , 45, 1821-1829. doi:10.1038/s41366-021-00851-0

Cousineau, M., Demany, L. & Pressnitzer, D. (2010). The role of peripheral resolvability in pitch-sequence processing. The Journal of the Acoustical Society of America, 128(5), EL236-41. doi:10.1121/1.3499701

Cousineau, M., Carcagno, S., Demany, L. & Pressnitzer, D. (2014). What is a melody? On the relationship between pitch and brightness of timbre. Frontiers in systems neuroscience, 7, 127. doi:10.3389/fnsys.2013.00127

Claverie, L., Boubenec, Y., Debrégeas, G., Prevost, A. & Wandersman, E. (2017). Whisker Contact Detection of Rodents Based on Slow and Fast Mechanical Inputs. Frontiers in behavioral neuroscience, 10, 251. doi:10.3389/fnbeh.2016.00251

Claire, S., Corazzol, M. , Labouret, G., Stockart, F. , Wexler, M., King, J. , Florent, M. & Pressnitzer, D. (2021). Bifurcation in brain dynamics reveals a signature of conscious processing independent of report. Nature Communications, 12, 1149. doi:10.1038/s41467-021-21393-z

Claassen, J. , Doyle, K. , Matory, A. , Couch, C. , Burger, K. , Velazquez, A. , Okonkwo, J. , King, J. , Park, S. , Agarwal, S. , Roh, D. , Megjhani, M. & (Et Al), . (2019). Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury. N Engl J Med, 380, 2497-2505. doi:10.1056/NEJMoa1812757

Christianson, G., Chait, M., de Cheveigné, A. & Linden, J. (2014). Auditory evoked fields measured noninvasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. Journal of neurophysiology, 112(12), 3053-65. doi:10.1152/jn.00189.2014

Chopin, A. & Mamassian, P. (2013). Response: Genuine long-term positive aftereffects. Current Biology, 23(10), R439-R440. doi:10.1016/j.cub.2013.03.025

Chopin, A. & Mamassian, P. (2012). Predictive properties of visual adaptation. Current Biology, 22(7), 622-626. doi:10.1016/j.cub.2012.02.021

Chopin, A. & Mamassian, P. (2010). Task usefulness affects perception of rivalrous images. Psychological Science, 21(12), 1886-1893. doi:10.1177/0956797610389190

Chopin, A., Mamassian, P. & Blake, R. (2012). Stereopsis and binocular rivalry are based on perceived rather than physical orientations. Vision Research, 63, 63-68. doi:10.1016/j.visres.2012.05.003

Chopin, A. & Mamassian, P. (2011). Usefulness influences visual appearance in motion transparency depth rivalry. Journal of Vision, 11(7), 18. doi:10.1167/11.7.18

Champion, R., Brenner, E., Mamassian, P. & Simmons, D. (2004). No evidence for sequential effects of the interaction of stereo and motion cues in judgements of perceived shape. Vision Research, 44(5), 483-487. doi:10.1016/j.visres.2003.10.003

Champion, R., Simmons, D. & Mamassian, P. (2004). The influence of object size and surface shape on shape constancy from stereo. Perception, 33(2), 237-247. doi:10.1068/p5173

Chambers, C., Elgueda, D. , Fritz, J. , Shamma, S., Burkitt, A. & Grayden David, B. (2019). Computational Neural Modeling of Auditory Cortical Receptive Fields. Front. Comput. Neurosci. doi:10.3389/fncom.2019.00028

Chambers, C., Akram, S., Adam, V., PELOFI, C., Sahani, M., Shamma, S. & Pressnitzer, D. (2017). Prior context in audition informs binding and shapes simple features. Nature Communications, 20(8), 15027. doi:10.1038/ncomms15027

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582

Chalk, M., Gutkin, B. & Denève, S. (2016). Neural oscillations as a signature of efficient coding in the presence of synaptic delays. eLife, . doi:10.7554/eLife.13824

Caze, R., Humphries, M. & Gutkin, B. (2013). Modulation of computational capacity of neurons due to dendritic synaptic interactions. PLoS Comput. Biol., 9(2)

Cayco Gajic, A. & Zylberberg, A. (2021). Good decisions require more than information. Nature Neuroscience, 2', 903-904. doi:10.1038/s41593-021-00883-9