Blaise Yvert, Ph. D.
Neurotechnology and network dynamics
Grenoble Institute for Neuroscience
INSERM and Univ Grenoble Alpes
Research interests
We are interested in neural engineering for understanding the cortical dynamics underlying speech and vocal production, and finding strategies to restore speech in people who have lost communication abilities. Through several national and international collaborations, we:
develop large-scale cortical implants allowing stable recordings on the long term
design fully unsupervised neuromorphic methods to process neural data in real time based on artificial neural networks
use neural interfacing technologies to highlight the dynamics of cortical networks underlying speech and vocal production
develop brain-computer interfaces for speech rehabilitation
Finally, we also conduct an ethical reflection with philosophers on the implication of neural engineering at the level of patients and society.
Selected publications
Le Godais G, Roussel P, Bocquelet F, Aubert M, Kahane P, Chabardès S, Yvert B (2023) Overt Speech Decoding From Cortical Activity: A Comparison Of Different Linear Methods. Front. Hum. Neurosci. 17:1124065. doi: 10.3389/fnhum.2023.1124065
Yvert B, Fourneret E (2023) Neuromorphic brain interfacing and the challenge of human subjectivation. Nat Rev Bioeng. https://doi.org/10.1038/s44222-023-00041-9.
Ran, X., Chen, W., Yvert, B*. & Zhang, S*. A hybrid autoencoder framework of dimensionality reduction for brain-computer interface decoding. Comput. Biol. Med. 148, 105871 (2022). DOI: 10.1016/j.compbiomed.2022.105871
Palma M, Khoshnevis M, Lion M, Zenga C, Kefs S, Fallegger F, Gabelle Flandin I, Lacour S, Yvert B (2022) Chronic recording of cortical activity underlying vocalization in awake minipigs, J Neurosci Meth, 366: 109427.
Fallegger F, Schiavone G, Pirondini E, Wagner FB, Vachicouras N, Serex L, Zegarek G, May A, Constanthin P, Palma M, Khoshnevis M, Van Roost D, Yvert B, Courtine G, Schaller K, Bloch J, Lacour SP (2021) MRI-Compatible and Conformal Electrocorticography Grids for Translational Research. Adv Sci 2003761:1–9.
Roussel P, Le Godais G, Bocquelet F, Palma M, Hongjie J, Zhang S, Giraud AL, Mégevand P, Miller K, Gehrig J, Kell C, Kahane P, Chabardès S, Yvert B (2020) Observation and assessment of acoustic contamination of electrophysiological brain signals during speech production and sound perception. J Neural Eng 17:056028.
Fourneret E and Yvert B (2020) Digital Normativity: A Challenge for Human Subjectivation. Front. Artif. Intell. 3:27. doi: 10.3389/frai.2020.00027
Bernert, M., and Yvert, B. (2019). An Attention-Based Spiking Neural Network for Unsupervised Spike-Sorting. Int. J. Neural Syst. 29, 1–18. doi:10.1142/s0129065718500594.
Hébert C, Masvidal E, Suarez A, Bonaccini Calia A, Piret G, Garcia R, Illa X, del Corro E, Prat E, Bousquet J, Yvert B, Villa R, Sanchez Vives M, Guimera A, Garrido JA (2017) Flexible graphene solution-gated field-effect transistors: An efficient transducer for μ-ECoGs. Advanced Functional Materials, 1703976, 1-15
Bocquelet F, Hueber T, Girin L, Savariaux C, Yvert B (2016) Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces. PLOS Comput Biol 12:e1005119.
Bocquelet F, Piret G, Aumonier N, Yvert B (2016) Ethical reflections on brain-computer interfaces. In Bongrain L, Clerc M, Lotte F. Interfaces cerveau-ordinateur : Technology and applications, ISTE-Wiley, 2016
Joucla S, Ambroise M, Levi T, Lafon T, Chauvet P, Saïghi S, Bornat Y, Lewis N, Renaud S and Yvert B (2016). Generation of Locomotor-Like Activity in the Isolated Rat Spinal Cord Using Intraspinal Electrical Microstimulation Driven by a Digital Neuromorphic CPG. Front. Neurosci. 10:67. doi: 10.3389/fnins.2016.00067
Piret G, Hébert C, Mazellier J-P, Rousseau L, Scorsone E, Cottance M, Lissorgues G, Heuschkel M, Picaud S, Bergonzo P, Yvert B (2015) 3D-nanostructured boron-doped diamond for microelectrode array neural interfacing. Biomaterials, 53: 173-183.
Joucla S, Glière A and Yvert B (2014) Current approaches to model extracellular electrical neural microstimulation. Front. Comput. Neurosci. 8:13. doi: 10.3389/fncom.2014.00013
Heim M, Rousseau L, Reculusa S, Urbanova V, Mazzocco C, Joucla S, Bouffier L, Vytras K, Bartlett P, Kuhn A, Yvert B. (2012) Mesoporous microelectrode arrays (MEAs) for low noise recording of neural networks. J Neurophysiol 108: 1793-1803.
Joucla S, Branchereau P, Cattaert D, Yvert B (2012) Extracellular neural microstimulation may activate much larger regions than expected by simulations: a combined experimental and modeling MEA study. PLoS ONE 7(8): e41324. doi:10.1371/journal.pone.0041324.
Joucla S, Yvert B (2012) Modeling extracellular electrical neural stimulation: from basic understanding to MEA-based applications. J Physiol (Paris), 106: 146–158. doi:10.1016/j.jphysparis.2011.10.003
Yvert B, Mazzocco C, Joucla S, Langla A, Meyrand P (2011) Artificial CSF motion ensures rhythmic activity in the developing CNS ex vivo: A mechanical source of rhythmogenesis? J. Neurosci, 31(24):8832-8840.
Joucla S, Yvert B. (2009) Improved focalization of electrical microstimulation using microelectrode arrays : a modeling study. PLoS ONE, 4(3): e4828. doi:10.1371/journal.pone.000482.
Joucla S, Yvert B. (2009) The “mirror” estimate: An intuitive predictor of membrane polarization during extracellular stimulation. Biophys J, 96:3495-3508.
Neurotechnology and network dynamics
Grenoble Institute for Neuroscience
Inserm and Univ Grenoble Alpes U1216
Bât Biologie B, 2280 rue de la piscine
38400 Saint Martin d'Hères - France
blaise.yvert ( at ) inserm.fr