Publications

Recanati, F. (2017). Contextualism and Polysemy. Dialectica, 71(3), 379–397. doi:10.1111/1746-8361.12179

Marozeau, J. & de Cheveigné, A. (2007). The effect of fundamental frequency on the brightness dimension of timbre. Journal of the Acoustical Society of America, 121(1), 383-387. doi:10.1121/1.2384910

Le Roux, J., Kameoka, H., Ono, N., de Cheveigné, A. & Sagayama, S. (2007). Single and multiple F-0 contour estimation through parametric spectrogram Modeling of speech in noisy environments. Ieee Transactions on Audio Speech and Language Processing, 15(4), 1135-1145. doi:10.1109/TASL.2007.894510

Leman, M., Avanzini, F., de Cheveigné, A. & Bigand, E. (2007). The societal contexts for sound and music computing: Research, education, industry, and socio-culture. Journal of New Music Research, 36(3), 149-167. doi:10.1080/09298210701859164

Landemard, A., Bimbard, C., Demene, C. , Shamma, S., Norman-Haignere, S. & Boubenec, Y. (2021). Distinct higher-order representations of natural sounds in human and ferret auditory cortex. eLife, 10 , e65566. doi:10.7554/eLife.65566

Varnet, L., Agnès C., L., Boucher, S. , Bonnet, C. , Petit, C. & Lorenzi, C. (2021). Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis. Front. Aging Neurosci., 13, 83. doi:10.3389/fnagi.2021.640522

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Kang, H. , Macherey, O., Roman, S. & Pressnitzer, D. (2021). Auditory memory for random time patterns in cochlear implant listeners. The Journal of the Acoustical Society of America, 150(3). doi:10.1121/10.0005728

Stojanovic, I. (2020). Indexicality: I, Here, Now. The Wiley Blackwell Companion to Semantics, 1-33. doi:10.1002/9781118788516.sem123

Cepollaro, B., Domaneschi, F. & Stojanovic, I. (2020). When is it ok to call someone a jerk? An experimental investigation of expressives. Synthese, . doi:10.1007/s11229-020-02633-z

Recanati, F. (2020). Multiple Grounding. In Springer (Eds.), Language and Reality from a Naturalistic Perspective. Philosophical Studies Series (Vol. 142). doi:10.1007/978-3-030-47641-0_5

Recanati, F. (2020). Penser avec le langage. Langue et Science, Langage et Pensée (pp. 147-164).Collège de France/Éditions Odile Jacob

Recanati, F. (2020). Coreference De Jure. In Rachel Goodman, James Genone, and Nick Kroll (Eds.), Singular Thought and Mental Files Oxford : Oxford University Press. doi:10.1093/oso/9780198746881.003.0008

Recanati, F. (2020). Langage, discours, pensée. Collège de France

Recanati, F. (2020). Jules Vuillemin Et la Philosophie Analytique. Revue de Synthèse, 141(1-2), 11–33. doi:10.1163/19552343-14000025

Recanati, F. (2020). Reference and Singular Thought. The Routledge Handbook of Linguistic Reference (pp. 399-408).Routledge

Recanati, F. (2021). Transparent Coreference. Topoi, 40(1), 107–115. doi:10.1007/s11245-019-09674-1

Shamma, S., Patel, P. , Mukherjee, S. , Marion, G. , Khalighinejad, B. , Han, C. , Herrero, J. , Bickel, S. , Mehta, A. & Mesgarani, N. (2021). Learning Speech Production and Perception through Sensorimotor Interactions. Cerebral Cortex Communications, 2(1), taag091. doi:10.1093/texcom/tgaa091

Bourdillon, P. , Hermann, B. , Guénot, M. , Bastuji-Garin, S., Isnard, J., King, J. , Sitt, J. & Naccache, L. (2020). Brain-scale cortico-cortical functional connectivity in the delta-theta band is a robust signature of conscious states: an intracranial and scalp EEG study. Scientific Reports, 10, 14037. doi:10.1038/s41598-020-70447-7

de Cheveigné, A. (2021). Shared component analysis. NeuroImage, 226, 117614. doi:10.1016/j.neuroimage.2020.117614

King, J. & Wyart, V. (2021). The Human Brain Encodes a Chronicle of Visual Events at each Instant of Time thanks to the Multiplexing of Traveling Waves. Journal of Neuroscience, 41(34), 7224-7233. doi:10.1523/JNEUROSCI.2098-20.2021

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

Jardri, R. & Denève, S. (2017). [Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Medecine sciences : M/S, 33(11), 933-935. doi:10.1051/medsci/20173311006

Leptourgos, P., Denève, S. & Jardri, R. (2017). Can circular inference relate the neuropathological and behavioral aspects of schizophrenia? Current opinion in neurobiology, 46, 154-161. doi:10.1016/j.conb.2017.08.012

Denève, S., Alemi, A. & Bourdoukan, R. (2017). The Brain as an Efficient and Robust Adaptive Learner. Neuron, 94(5), 969-977. doi:10.1016/j.neuron.2017.05.016

Jardri, R., Duverne, S., Litvinova, A. & Denève, S. (2017). Experimental evidence for circular inference in schizophrenia. Nature communications, 8, 14218. doi:10.1038/ncomms14218

Koren, V. & Denève, S. (2017). Computational Account of Spontaneous Activity as a Signature of Predictive Coding. PLoS computational biology, 13(1), e1005355. doi:10.1371/journal.pcbi.1005355

Gutierrez, G. & Denève, S. (2018). Population adaptation in efficient balanced networks. eLife, 8, e46926. doi:10.7554/eLife.46926

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2018). Signatures and mechanisms of low-dimensional neural predictive manifolds. bioRxiv. doi:10.1101/471987

Alemi, A., Machens, C., Denève, S. & Slotine, J. (2018). Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules. In Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, AAAI Press.