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Preprints

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  • Dai, B., McQueen, J. M., Terporten, R., Hagoort, P., & Kösem, A. (2018). Distracting linguistic information impairs neural entrainment to attended speech. bioRxiv, 364042. doi: https://doi.org/10.1101/364042

 

  • Daunizeau, J., Moran, R., Brochard, J., Mattout, J., Frackowiak, R., & Friston, K. (2020). Modelling lockdown-induced second COVID waves in France. MedRxiv.

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  • Daunizeau, J., Moran, R. J., Mattout, J., & Friston, K. (2020). On the reliability of model-based predictions in the context of the current COVID epidemic event: impact of outbreak peak phase and data paucity. medRxiv.​

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  • Lassalle, A., Cohen, M. X., Dekkers, L., Milne, E., Gulbinaite, R., & Geurts, H. (2020). Behavioural and EEG atypicalities during rest, visual perception, and cognitive control in autistic adults. psyarxiv.

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  • Fanuel L, Pleche C, Vekony T, Quentin R, Janacsek K, Nemeth D. The longer the better? General skill but not probabilistic learning improves with the duration of short rest periods. bioRxiv. (2020)

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  • Hussain SJ, Vollmer MK, Quentin R, Iturrate I, Cohen LG. Voluntary movement initiation is not coupled to optimal sensorimotor oscillatory phases. bioRxiv. (2019)

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  • Quentin R, Fanuel L, Kiss M, Vernet M, Vekony T, Janacsek K, Cohen L, Nemeth D. Statistical learning occurs during practice while high-order rule learning during rest periods. bioRxiv. (2020)​

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  • Scheeringa, R., Bonnefond, M., van Mourik, T., Jensen, O., Norris, D. G., & Koopmans, P. J. (2020). Relating neural oscillations to laminar fMRI connectivity. bioRxiv.

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  • Smith, L. S., Hesp, C., Lutz, A., Mattout, J., Friston, K., & Ramstead, M. (2020). Towards a formal neurophenomenology of metacognition: modelling meta-awareness, mental action, and attentional control with deep active inference.

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2021

  • Lecaignard, F., Bertrand, O., Caclin, A., & Mattout, J. (2021). Empirical Bayes evaluation of fused EEG-MEG source reconstruction: Application to auditory mismatch evoked responses. NeuroImage, 226, 117468.

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  • Gauld, C., Dumas, G., Fakra, É., Mattout, J., & Micoulaud-Franchi, J. A. (2021, January). Les trois cultures de la psychiatrie computationnelle. In Annales Médico-psychologiques, revue psychiatrique (Vol. 179, No. 1, pp. 63-71). Elsevier Masson.

2020

  • Adam, N., Blaye, A., Gulbinaite, R., Delorme, A., & Farrer, C. (2020). The role of midfrontal theta oscillations across the development of cognitive control in preschoolers and school‐age children. Developmental science, 23(5), e12936.

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  • Barchiesi, G., Demarchi, G., Wilhelm, F. H., Hauswald, A., Sanchez, G., & Weisz, N. (2020). Head magnetomyography (hMMG): A novel approach to monitor face and whole head muscular activity. Psychophysiology, 57(3), e13507.

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  • Berthomier, C., Muto, V., Schmidt, C., Vandewalle, G., Jaspar, M., Devillers, J., ... & Maquet, P. (2020). Exploring scoring methods for research studies: Accuracy and variability of visual and automated sleep scoring. Journal of sleep research, 29(5), e12994.

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  • Bonaiuto, J. J., Afdideh, F., Ferez, M., Wagstyl, K., Mattout, J., Bonnefond, M., ... & Bestmann, S. (2020). Estimates of cortical column orientation improve MEG source inversion. NeuroImage, 216, 116862.

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  • Dikker, S., Assaneo, M. F., Gwilliams, L., Wang, L., & Kösem, A. (2020). Magnetoencephalography and Language. Neuroimaging Clinics, 30(2), 229-238.

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  • Duprez, J., Gulbinaite, R., & Cohen, M. X. (2020). Midfrontal theta phase coordinates behaviorally relevant brain computations during cognitive control. NeuroImage, 207, 116340.

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  • Kösem, A., Bosker, H. R., Jensen, O., Hagoort, P., & Riecke, L. (2020). Biasing the perception of spoken words with Transcranial Alternating Current Stimulation. Journal of Cognitive Neuroscience, 32(8), 1428-1437.​

 

  • Mladenovic, J., Frey, J., Joffily, M., Maby, E., Lotte, F., & Mattout, J. (2020). Active inference as a unifying, generic and adaptive framework for a P300-based BCI. Journal of neural engineering, 17(1), 016054.

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  • Peter-Derex, L., Berthomier, C., Taillard, J., Berthomier, P., Bouet, R., Mattout, J., ... & Bastuji, H. (2020). Automatic analysis of single-channel sleep EEG in a large spectrum of sleep disorders. Journal of Clinical Sleep Medicine, jcsm-8864.

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  • Preisig, B. C., Sjerps, M. J., Hervais-Adelman, A., Kösem, A., Hagoort, P., & Riecke, L. (2020). Bilateral gamma/delta transcranial alternating current stimulation affects interhemispheric speech sound integration. Journal of cognitive neuroscience, 32(7), 1242-1250.

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  • Sanchez, G., Hartmann, T., Fuscà, M., Demarchi, G., & Weisz, N. (2020). Decoding across sensory modalities reveals common supramodal signatures of conscious perception. Proceedings of the National Academy of Sciences, 117(13), 7437-7446.

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  • Sapey-Triomphe L-A, Reversat J, Lesca G, Chatron N, Bussa M, Mazoyer S, Schmitz C, Sonié S, Edery P (2020) A de novo frameshift pathogenic variant in TBR1 identified in autism without intellectual disability. Human Genomics 14:32.

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  • Solís-Vivanco, R., Jensen, O., & Bonnefond, M. (2020). New insights on the ventral attention network: Inhibition and recruitment during a bimodal task. Human Brain Mapping

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  • Vernet M, Quentin R, Japee S, Ungerleider LG. From visual awareness to consciousness without sensory input: The role of spontaneous brain activity. Cognitive Neuropsychology, 37(3-4):216-219 (2020)

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2019

  • Appelhoff S, Sanderson M, Brooks L. T, Van Vliet M, Quentin R, Holdgraf C, Chaumon M, Mikulan E, Tavabi K, Höchenberger R, Welke D, Brunner C, Rockhill P. A, Larson E, Gramfort A, Mainak J. MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software, 4 (44) 1896 (2019)

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  • Batail, J. M., Bioulac, S., Cabestaing, F., Daudet, C., Drapier, D., Fouillen, M., ... & Lotte, F. (2019). EEG neurofeedback research: A fertile ground for psychiatry?. L'Encéphale, 45(3), 245-255. doi: https://doi.org/10.1016/j.encep.2019.02.001

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  • Corsi, M. C., Chavez, M., Schwartz, D., Hugueville, L., Khambhati, A. N., Bassett, D. S., & De Vico Fallani, F. (2019). Integrating EEG and MEG signals to improve motor imagery classification in brain–computer interface. International journal of neural systems, 29(01), 1850014.

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  • Di Rienzo, F., Barlaam, F., Daligault, S., Delpuech, C., Roy, A. C., Bertrand, O., ... & Schmitz, C. (2019). Tracking the acquisition of anticipatory postural adjustments during a bimanual load-lifting task: A MEG study. Human brain mapping, 40(10), 2955. doi: https://doi.org/10.1002/hbm.24571

 

  • de Freitas Medeiros, A., Sanchez, G., Lecaignard, F., Maby, E., Soares, A. B., & Mattout, J. (2019). EEG artifact correction strategies for online trial-by-trial analysis. Journal of neural engineering. doi: https://doi.org/10.1088/1741-2552/ab581d

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  • Gulbinaite, R., Roozendaal, D. H. M., & VanRullen, R. (2019). Attention differentially modulates the amplitude of resonance frequencies in the visual cortex. Neuroimage. 116-146

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  • Ioumpa, K., Graham, S. A., Clausner, T., Fisher, S. E., Van Lier, R., & Van Leeuwen, T. M. (2019). Enhanced self-reported affect and prosocial behaviour without differential physiological responses in mirror-sensory synaesthesia. Philosophical Transactions of the Royal Society B, 374(1787), 20190395.

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  • Lutz, A., Mattout, J., & Pagnoni, G. (2019). The epistemic and pragmatic value of non-action: a predictive coding perspective on meditation. Current opinion in psychology, 28, 166-171.

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  • Mladenovic, J., Frey, J., Joffily, M., Maby, E., Lotte, F., & Mattout, J. (2019). Active inference as a unifying, generic and adaptive framework for a P300-based BCI. Journal of Neural Engineering. doi: https://doi.org/10.1088/1741-2552/ab5d5c

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  • Preisig, B.C., Sjerps, M.J., Kösem, A., Riecke, L. (2019) Dual-site high-density 4Hz transcranial alternating current stimulation applied over auditory and motor cortical speech areas does not influence auditory-motor mapping. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, 12(3), 775-777. doi: https://doi.org/10.1016/j.brs.2019.01.007

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  • Preisig, B. C., Sjerps, M. J., Hervais-Adelman, A., Kösem, A., Hagoort, P., & Riecke, L. (2019). Bilateral Gamma/Delta Transcranial Alternating Current Stimulation Affects Interhemispheric Speech Sound Integration. Journal of cognitive neuroscience, 1-9. doi: https://doi.org/10.1162/jocn_a_01498

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  • Quentin R, Cohen L.G. Reversing working memory decline in the elderly. News & Views. Nature Neuroscience 22, 686-688 (2019)

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  • Quentin R, King J.R, Sallard E, Fishman N, Thompson R, Buch E, Cohen L.G. Differential brain mechanisms of selection and maintenance of information during working memory. The Journal of Neuroscience 39 (19) 3728-3740 (2019)

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  • Sapey‐Triomphe, L. A., Lamberton, F., Sonié, S., Mattout, J., & Schmitz, C. (2019). Tactile hypersensitivity and GABA concentration in the sensorimotor cortex of adults with autism. Autism Research, 12(4), 562-575. doi: https://doi.org/10.1002/aur.2073

 

  • Schmitz C (2019) Quelle compréhension du langage corporel dans l’autisme? In: S. Topouzkhanian & G. Hilaire-Debove (eds): Troubles du Spectre de l’Autisme: recherche et orthophonie. Ortho Edition, Isbergues. Pp 69-90.

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  • Terporten, R., Schoffelen, J. M., Dai, B., Hagoort, P., & Kösem, A. (2019). The Relation between Alpha/Beta Oscillations and the Encoding of Sentence induced Contextual Information. Scientific Reports. doi: https://doi.org/10.1038/s41598-019-56600-x

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  • Vernet M*, Stengel C*, Quentin R*, Amengual J.L, Valero-Cabre A. Entrainment of local synchrony reveals a causal role for high-beta right frontal oscillations in human visual consciousness. Scientific Report  9, 14510 (2019)

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2018

  • Bakardjian, H., Spinelli, G., George, N., Schwartz, D., Hampel, H., Dubois, B., & INSIGHT-preAD Study Group. (2018). P4‐027: evidence for cognitive compensation in early amyloidosis in high performAMYLOIDOSIS IN HIGH‐PERFORMING HEALTHY ELDERLY AT RISK FOR ALZHEIMER'S DISEASE. Alzheimer's & Dementia, 14(7S_Part_27), P1443-P1444.

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  • Barlaam, F., Fortin, C., Vaugoyeau, M., Schmitz, C., & Assaiante, C. (2018). Mu-oscillation changes related to the development of anticipatory postural control in children and adolescents. Journal of neurophysiology, 120(1), 129-138. doi: https://doi.org/10.1152/jn.00637.2017

 

  • Duret, P., Samson, F., Pinsard, B., Barbeau, E. B. B., Boré, A., Soulières, I., & Mottron, L. (2018). Gyrification changes are related to cognitive strengths in autism. NeuroImage: Clinical, 20(April), 415–423. doi: https://doi.org/10.1016/j.nicl.2018.04.036

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  • Kösem, A., Bosker, H. R., Takashima, A., Meyer, A. S., Jensen, O., & Hagoort, P. (2018). Neural entrainment determines the words we hear. Current Biology. doi:10.1016/j.cub.2018.07.023.

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  • Sapey-Triomphe, L. A., Sonié, S., Hénaff, M. A., Mattout, J., & Schmitz, C. (2018). Adults with Autism Tend to Undermine the Hidden Environmental Structure: Evidence from a Visual Associative Learning Task. Journal of autism and developmental disorders, 48(9), 3061-3074. doi: https://doi.org/10.1007/s10803-018-3574-1

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  • Sapey-Triomphe, L. A., Moulin, A., Sonié, S., & Schmitz, C. (2018). The Glasgow Sensory Questionnaire: validation of a French language version and refinement of sensory profiles of people with high Autism-Spectrum Quotient. Journal of autism and developmental disorders, 48(5), 1549-1565. doi: https://doi.org/10.1007/s10803-017-3422-8

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  • Scherlinger, M., Bienvenu, T. C. M., Piffoux, M., & Séguin, P. (2018). [MD-PhD trainings in France: overview and future directions, from the French MD/PharmD-PhD students association « AMPS »]. Medecine Sciences: M/S, 34(5), 464‑472. doi:10.1051/medsci/20183405021

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  • Solís-Vivanco, R., Jensen, O., & Bonnefond, M. (2018). Top-Down Control of Alpha Phase Adjustment in Anticipation of Temporally Predictable Visual Stimuli. Journal of cognitive neuroscience, 30(8), 1157-1169. doi: https://doi.org/10.1162/jocn_a_01280

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  • Wagner, F. B., Mignardot, J.-B., Le Goff-Mignardot, C. G., Demesmaeker, R., Komi, S., Capogrosso, M., … Minassian, K., Bloch J., Courtine, G. (2018). Targeted neurotechnology restores walking in humans with spinal cord injury. Nature, 563(7729), 65‑71. doi:https://doi.org/10.1038/s41586-018-0649-2

2017

  • Bonnefond, M., Kastner, S., & Jensen, O. (2017). Communication between brain areas based on nested oscillations. eneuro, 4(2). doi: 10.1523/ENEURO.0153-16.2017

 

  • Bosker, H. R., & Kösem, A. (2017). An entrained rhythm's frequency, not phase, influences temporal sampling of speech. Proceedings of Interspeech 2017 doi:10.21437/Interspeech.2017-73.

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  • Cignetti, F., Chabeauti, P. Y., Menant, J., Anton, J. L. J., Schmitz, C., Vaugoyeau, M., & Assaiante, C. (2017). Gravity Cues Embedded in the Kinematics of Human Motion Are Detected in Form-from-Motion Areas of the Visual System and in Motor-Related Areas. Frontiers in psychology, 8, 1396. doi: https://doi.org/10.3389/fpsyg.2017.01396

 

  • Clausner, T., Dalal, S. S., & Crespo-García, M. (2017). Photogrammetry-based head digitization for rapid and accurate localization of EEG electrodes and MEG fiducial markers using a single digital SLR camera. Frontiers in neuroscience, 11, 264. doi: https://doi.org/10.3389/fnins.2017.00264

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  • Cohen, M. X., & Gulbinaite, R. (2017). Rhythmic entrainment source separation: Optimizing analyses of neural responses to rhythmic sensory stimulation. Neuroimage, 147, 43-56. doi:10.1016/j.neuroimage.2016.11.036

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  • Dai, B., McQueen, J., Hagoort, P., Kösem, A. (2017). Pure linguistic interference during speech-on-speech comprehension. ​The Journal of the Acoustical Society of America, 141, EL249-EL254. doi:10.1121/1.4977590 ​

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  • Fouillen, M., Maby, E., Le Carrer, L., Herbillon, V., & Mattout, J. (2017). ERP-based BCI training for children with ADHD: motivation and trial design. 7th Graz Brain-Computer Interface Conference 2017. https://doi.org/10.3217/978-3-85125-533-1-26

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  • Grabot, L., Kösem, A., Azizi, L., van Wassenhove, V. (2017). Prestimulus alpha oscillations and the temporal sequencing of audiovisual events. Journal of Cognitive Neuroscience, 29(9), 1566-1582. doi:10.1162/jocn_a_01145

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  • Guillon, J., Attal, Y., Colliot, O., La Corte, V., Dubois, B., Schwartz, D., ... & Fallani, F. D. V. (2017). Loss of brain inter-frequency hubs in Alzheimer's disease. Scientific reports, 7(1), 1-13.

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  • Gulbinaite, R., van Viegen, T., Wieling, M., Cohen, M. X., & VanRullen, R. (2017). Individual Alpha Peak Frequency Predicts 10 Hz Flicker Effects on Selective Attention. The Journal of neuroscience, 37(42), 10173-10184. doi:10.1523/JNEUROSCI.1163-17.2017

 

  • Gulbinaite, R., Ilhan, B., & VanRullen, R. (2017). The triple-flash illusion reveals a driving role of alpha-band reverberations in visual perception. The Journal of neuroscience. doi:10.1523/JNEUROSCI.3929-16.2017

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  • Kösem, A., & Van Wassenhove, V. (2017). Distinct contributions of low and high frequency neural oscillations to speech comprehension. Language, Cognition and Neuroscience. doi:10.1080/23273798.2016.1238495

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  • Richter, C. G., Babo-Rebelo, M., Schwartz, D., & Tallon-Baudry, C. (2017). Phase-amplitude coupling at the organism level: The amplitude of spontaneous alpha rhythm fluctuations varies with the phase of the infra-slow gastric basal rhythm. NeuroImage, 146, 951-958.

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  • Sapey-Triomphe, L. A., Centelles, L., Roth, M., Fonlupt, P., Henaff, M. A., Schmitz, C., & Assaiante, C. (2017). Deciphering human motion to discriminate social interactions: a developmental neuroimaging study. Social Cognitive and Affective Neuroscience, 12(2), 340-351. doi: https://doi.org/10.1093/scan/nsw117

 

  • Vissers, M. E., Gulbinaite, R., van den Bos, T., & Slagter, H. A. (2017). Protecting visual short-term memory during maintenance: Attentional modulation of target and distractor representations. Sci Rep, 7(1), 4061. doi:10.1038/s41598-017-03995-0

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2016

  • Barlaam, F., Vaugoyeau, M., Fortin, C., Assaiante, C., & Schmitz, C. (2016). Shift of the muscular inhibition latency during on-line acquisition of anticipatory postural adjustments. PloS one, 11(5), e0154775. doi: https://doi.org/10.1371/journal.pone.0154775

 

  • Kösem, A., Basirat, A., Azizi, L., & van Wassenhove, V. (2016). High frequency neural activity predicts word parsing in ambiguous speech streams. Journal of Neurophysiology. doi:10.1152/jn.00074.2016.

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  • Sanchez, G., Lecaignard, F., Otman, A., Maby, E., and Mattout, J. (2016). Active SAmpling Protocol (ASAP) to Optimize Individual Neurocognitive Hypothesis Testing: A BCI-Inspired Dynamic Experimental Design. Front. Hum. Neurosci., 347. doi:10.3389/fnhum.2016.00347.

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  • Séguin, P., Fouillen, M., Otman, A., Luauté, J., Giraux, P., Morlet, D., Maby, M., Mattout, J. (2016). Controlling an auditory BCI is challenging for people with severe motor disability. Annals of physical and rehabilitation medicine doi: https://doi.org/10.1016/j.neucli.2016.05.066

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  • Séguin, P., Charvier, K., Courtois, F., Del Aguila, C., Fernandez, B., Rode, G., … d’Estaing, S. G. (2016). Outcomes of cryopreserved sperm in case of spinal cord injury in Lyon, France. Annals of Physical and Rehabilitation Medicine, 59, e108. doi:https://doi.org/10.1016/j.rehab.2016.07.239

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  • Séguin, P., Moulin, A., Fornoni, L., Mattout, J., Maby, E., Lapin, B., … Giraux, P. (2016). Retrospective study of the acute period of locked-in syndrome: Consciousness recovery and communication restoration. Annals of Physical and Rehabilitation Medicine, 59, e151‑e152. doi: https://doi.org/10.1016/j.rehab.2016.07.337

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  • Staresina, B. P., Michelmann, S., Bonnefond, M., Jensen, O., Axmacher, N., & Fell, J. (2016). Hippocampal pattern completion is linked to gamma power increases and alpha power decreases during recollection. Elife, 5, e17397. doi:10.7554/eLife.17397.001

2015

  • Albouy, P., Mattout, J., Sanchez, G., Tillmann, B., and Caclin, A. (2015). Altered retrieval of melodic information in congenital amusia: insights from dynamic causal modeling of MEG data. Front. Hum. Neurosci. 9, 20. doi:10.3389/fnhum.2015.00020.

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  • Andújar, B., Campderrós, G., García, M., Marino, M., Mas, M., Narbona, L.,Bonnefond, M. ... & Laguna, D. (2015). Twenty Tips for High-School Students Engaging in Research with Scientists. Frontiers for Young Minds (3), 7 (2015). doi: 10.3389/frym.2015.00007

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  • Horschig, J. M., Smolders, R., Bonnefond, M., Schoffelen, J. M., Van den Munckhof, P., Schuurman, P. R., ... & Jensen, O. (2015). Directed communication between nucleus accumbens and neocortex in humans is differentially supported by synchronization in the theta and alpha band. PloS one, 10(9), e0138685. doi: https://doi.org/10.1371/journal.pone.0138685

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  • Mattout, J., Perrin, M., Bertrand, O., & Maby, E. (2015). Improving BCI performance through co-adaptation: applications to the P300-speller. Annals of physical and rehabilitation medicine, 58(1), 23-28. doi: https://doi.org/10.1016/j.rehab.2014.10.006

 

  • Martin, J.-R. *, Kösem, A. *, & van Wassenhove, V. (2015). Hysteresis in Audiovisual Synchrony Perception. PLoS One, 10(3): e0119365. doi:10.1371/journal.pone.0119365.

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  • Medani, T., Lautru, D., Schwartz, D., Ren, Z., & Sou, G. (2015). FEM method for the EEG forward problem and improvement based on modification of the saint venant's method. Progress In Electromagnetics Research, 153, 11-22.

 

  • Mottron, L.*, Duret, P.*, Mueller, S., Moore, R. D. R. D., Forgeot D’Arc, B., Jacquemont, S., & Xiong, L. (2015). Sex differences in brain plasticity: A new hypothesis for sex ratio bias in autism Understanding the links between sex/gender and autism. Molecular Autism, 6(1), 1–19. doi: https://doi.org/10.1186/s13229-015-0024-1

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  • Robic, S., Sonié, S., Fonlupt, P., Henaff, M. A., Touil, N., Coricelli, G., ... & Schmitz, C. (2015). Decision-making in a changing world: a study in autism spectrum disorders. Journal of autism and developmental disorders, 45(6), 1603-1613. doi: https://doi.org/10.1007/s10803-014-2311-7

 

  • Staresina, B. P., Bergmann, T. O., Bonnefond, M., Van Der Meij, R., Jensen, O., Deuker, L., ... & Fell, J. (2015). Hierarchical nesting of slow oscillations, spindles and ripples in the human hippocampus during sleep. Nature neuroscience, 18(11), 1679. doi: https://doi.org/10.1038/nn.4119

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2014

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  • Breton, A., Jerbi, K., Henaff, M. A., Cheylus, A., Baudouin, J. Y., Schmitz, C., ... & Van der Henst, J. B. (2014). Face the hierarchy: ERP and oscillatory brain responses in social rank processing. PloS one, 9(3), e91451. doi: https://doi.org/10.1371/journal.pone.0091451

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  • Gulbinaite, R., van Rijn, H., & Cohen, M. X. (2014). Fronto-parietal network oscillations reveal relationship between working memory capacity and cognitive control. Frontiers in human neuroscience, 8, 761. doi:10.3389/fnhum.2014.00761

 

  • Gulbinaite, R., Johnson, A., de Jong, R., Morey, C. C., & van Rijn, H. (2014). Dissociable mechanisms underlying individual differences in visual working memory capacity. Neuroimage, 99, 197-206. doi:10.1016/j.neuroimage.2014.05.060

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  • Gulbinaite, R., & Johnson, A. (2014). Working memory capacity predicts conflict-task performance. Quarterly Journal of Experimental Psychology (Hove), 67(7), 1383-1400. doi:10.1080/17470218.2013.863374

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  • Jensen, O., Gips, B., Bergmann, T. O., & Bonnefond, M. (2014). Temporal coding organized by coupled alpha and gamma oscillations prioritize visual processing. Trends in neurosciences, 37(7), 357-369. doi: https://doi.org/10.1016/j.tins.2014.04.001

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  • Kaplan, R., Bush, D., Bonnefond, M., Bandettini, P. A., Barnes, G. R., Doeller, C. F., & Burgess, N. (2014). Medial prefrontal theta phase coupling during spatial memory retrieval. Hippocampus, 24(6), 656-665. doi: https://doi.org/10.1002/hipo.22255

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  • Martel, M., Sonie, S., Pirat, E., Kassai-Koupai, B., Schmitz, C., & Roy, A. C. (2014). I know it’s heavy but I can’t make anthing of it before I feel it. In Proceedings of the International Meeting for Autism Research. 

 

  • Piai, V., Roelofs, A., Jensen, O., Schoffelen, J. M., & Bonnefond, M. (2014). Distinct patterns of brain activity characterise lexical activation and competition in spoken word production. PloS one, 9(2), e88674. doi: https://doi.org/10.1371/journal.pone.0088674

 

  • Sanchez, G., Daunizeau, J., Maby, E., Bertrand, O., Bompas, A., and Mattout, J. (2014). Toward a New Application of Real-Time Electrophysiology: Online Optimization of Cognitive Neurosciences Hypothesis Testing. Brain Sci. 4, 49–72. doi:10.3390/brainsci4010049.

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