Publications

Gwilliams, L. & King, J. (2020). Recurrent processes support a cascade of hierarchical decisions. eLife, 9, e56603. doi:10.7554/eLife.56603

King, J. , Charton, F. , Lopez-Paz, D. & Oquab, M. (2020). Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations. NeuroImage, 220, 117028. doi:10.1016/j.neuroimage.2020.117028

King, J. , Gwilliams, L., Holdgraf, C., Sassenhagen, J., Barachant, A., Engemann , D., Larson, E. & Gramfort, A. (2020). Encoding and Decoding Framework to Uncover the Algorithms of Cognition. The Cognitive Neurosciences VI, MIT Press, .

Kuchibhotla, K., Hindmarsh Sten, T., Papadoyannis, E., Elnozahy, S. , Fogelson, K. , Kumar, R., Boubenec, Y., Holland, P., Ostojic, S. & Froemke, R. (2020). Dissociating task acquisition from expression during learning reveals latent knowledge. Nature communications, 10(1), 2151. doi:10.1038/s41467-019-10089-0

Lakretz, Y. , Dehaene, S. & King, J. (2020). What Limits Our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension? Entropy, 22(4), 446. doi:10.3390/e22040446

Liuni, M., Ponsot, E., Bryant, P. & Aucouturier, J. (2020). Sound context modulates perceived vocal emotion. Behavioural Processes, 172, 104042. doi:10.1016/j.beproc.2020.104042

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

Najar, A., Bonnet, E., Bahador, B. & Palminteri, S. (2020). The actions of others act as a pseudo-reward to drive imitation in the context of social reinforcement learning. PLoS Biology, 18 (12), e3001028. doi:10.1371/journal.pbio.3001028

Najar, A., Sigaud, O. & Chetouani , M. (2020). Interactively shaping robot behaviour with unlabeled human instructions. Auton Agent Multi-Agent Syst, 34(35). doi:10.1007/s10458-020-09459-6

Peiffer-Smadja, N. , Maatoug, R. , Lescure, F. , D’Ortenzio, E. , Pineau, J. & King, J. (2020). Machine Learning for COVID-19 needs global collaboration and data-sharing. Nat Mach Intell, . doi:10.1038/s42256-020-0181-6

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The effect of counterfactual information on outcome value coding in medial prefrontal and cingulate cortex: from an absolute to a relative neural code. Journal of Neuroscience, 40(16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The role of counterfactual information on outcome value coding in mPFC and cingulate cortex: from an absolute to an adaptive neural code. . The Journal of Neuroscience, 40 (16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Radtke-Schuller, S., Town, S. , Yin, P., Elgueda, D. , Schuller, G. , Shamma, S. & Fritz, J. (2020). Dorsal Prefrontal and Premotor Cortex of the Ferret as Defined by Distinctive Patterns of Thalamo-Cortical Projections. Brain Struct Funct . doi:10.1007/s00429-020-02086-7

Skvortsova , V., Palminteri, S., Buot, A., Karachi, C., Welter, M., Grabli, D. & Pessiglione, M. (2020). A Causal Role for the Pedunculopontine Nucleus in Human Instrumental Learning. Current Biology, 31(5). doi:10.1016/j.cub.2020.11.042

Souffi , S., Lorenzi, C., Varnet, L. & Edeline, J. (2020). Noise-sensitive but more precise subcortical representations co-exist with robust cortical encoding of natural vocalizations. Journal of Neuroscience, 2731, 19. doi:10.1523/JNEUROSCI.2731-19.2020

Thoret, E., Gauriau, C., Andrillon, T., Pressnitzer, D. & Léger, D. (2020). 0293 Sleep Deprivation Affects the Acoustic Properties of Human Speech. Sleep, 43(1), A111. doi:10.1093/sleep/zsaa056.290

Thoret, E., Varnet, L., Boubenec, Y., Ferriere, R., Le Tourneau , F., Krause, B. & Lorenzi, C. (2020). Characterizing amplitude and frequency modulation cues in natural soundscapes: A pilot study in four habitats of a biosphere reserve. Journal of the Acoustical Society of America, 147, 3260-3274. doi:10.1121/10.0001174

Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2020). Robust valence-induced biases on motor response and confidence in human reinforcement learning. Cognitive, Affective, & Behavioral Neuroscience, . doi:10.3758/s13415-020-00826-0

V Kuchibhotla, K. , Hindmarsh Sten, T., C. Papadoyannis, E. , Elnozahy, S. , Fogelson, K. , Chillale, R. , Boubenec, Y., C. Holland, P. , Ostojic, S. & C. Froemke, R. (2020). Author Correction: Dissociating task acquisition from expression during learning reveals latent knowledge. Nat Commun, 11(3176). doi:10.1038/s41467-020-17023-9

Yin, P., Strait, D. , Radtke-Schuller, S., Fritz, J. & Shamma, S. (2020). Dynamics and Hierarchical Encoding of Non-compact Acoustic Categories in Auditory and Frontal Cortex. , 30(9), 1649-1663.e5. doi:10.1016/j.cub.2020.02.047

Zimmerer, V. , Hardy, C. , Eastman, J. , Dutta, S. , Varnet, L., Bond, R. , Russell, L. , D. Warren, J. & Varleya, R. (2020). Automated profiling of spontaneous speech in primary progressive aphasia and behavioral-variant frontotemporal dementia: An approach based on usage-frequency. Cortex, 133, 103-119. doi:10.1016/j.cortex.2020.08.027

Albouy , P. , Caclin, A. , Norman-Haignere, S., Lévêque, Y. , Peretz, I. , Tillmann, B. & J Zatorre, R. (2019). Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia. Front Neurosci ., 13, 1165. doi:10.3389/fnins.2019.01165

Buss , E., Lorenzi, C., Cabrera, L., Leibold , L. & Grose, J. (2019). Amplitude modulation detection and modulation masking in school-age children and adults. The Journal of the Acoustical Society of America, 145, 2565. doi:10.1121/1.5098950

Cabrera, L., Varnet, L., Buss , E., Rosen, S. & Lorenzi, C. (2019). Development of temporal auditory processing in childhood: Changes in efficiency rather than temporal-modulation selectivity. The Journal of the Acoustical Society of America, 146(4), 2415-2429. doi:10.1121/1.5128324

Calcus, A., Outi, T., Ana, C., Stuart, R. & Lorna F, H. (2019). Functional brain alterations following mild-to-moderate sensorineural hearing loss in children. eLife, 8, e46965. doi:10.7554/eLife.46965

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

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

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