Publications

Graves, J., Pralus, A. , Oxenham, A., Fornoni, L. , Caclin, A. & Tillmann, B. (2019). hort- and long-term memory for pitch and non-pitch contours: Insights from congenital amusia. Brain and Cognition, 136, 103614. doi:10.1016/j.bandc.2019.103614

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Calcus, A., Schoof, T., Rosen , S., Shinn-Cunningham, B. & Souza , P. (2020). Switching Streams Across Ears to Evaluate Informational Masking of Speech-on-Speech. Ear and Hearing, 41(1), 208-216. doi:10.1097/AUD.0000000000000741

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

Verschooten, E. , Shamma, S., Oxenham, A., Moore, B., Joris, P. , Heinz, M. & Plack, C. (2019). The upper frequency limit for the use of phase locking to code temporal fine structure in humans: A compilation of viewpoints. Hearing Research, 377, 109-121. doi:10.1016/j.heares.2019.03.011

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

Kai, L., Wanyi, L., Kelsey, D., Peng, Z., Jonathan B., F. & Shamma, S. (2019). Adaptive Efficient Coding of Correlated Acoustic Properties. The Journal of Neuroscience, 39(44), 8664--8678. doi:10.1523/JNEUROSCI.0141-19.2019

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

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. (2019). Dissociating task acquisition from expression during learning reveals latent knowledge. Nature Communications, 10, 2151. doi:10.1038/s41467-019-10089-0

Ewert, S., Paraouty, N. & Lorenzi, C. (2020). A two‐path model of auditory modulation detection using temporal fine structure and envelope cues. European Journal of Neuroscience, 51(5), 1265-1278. doi:10.1111/ejn.13846

Causey, E. , Aceto, K. , Mazze, L. , Alimonos, C. , Adam, D. , Jeyabalan, J. , Dasuki, A. , Viswanathan, J. , Mohammed, A. , Yin, P. , Shamma, S. & Fritz, J. (2020). Development of an Animal Model to Study Effects of Auricular Vagal Nerve Stimulation on Brain Plasticity and Auditory Learning of Complex Phoneme Discrimination – A Preliminary Study. Impulse, 1-6

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

Palminteri, S. & Chevallier, C. (2018). Can We Infer Inter-Individual Differences in Risk-Taking From Behavioral Tasks? Frontiers in psychology, 9, 2307. doi:10.3389/fpsyg.2018.02307

Safra, L., Chevallier, C. & Palminteri, S. (2019). Depressive symptoms are associated with blunted reward learning in social contexts. PLOS Computational Biology, 15(7), e1007224. doi:10.1371/journal.pcbi.1007224

Safra, L., Palminteri, S. & Chevallier, C. (2019). Social information impairs reward learning in depressive subjects: behavioral and computational characterization. Plos Computational Biology, 15(7), e1007224. doi:10.1101/378281

Sidarus, N., Palminteri, S. & Chambon, V. (2019). Cost-benefit trade-offs in decision-making and learning. PLOS Computational Biology, 15(9), e1007326. doi:10.1371/journal.pcbi.1007326

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

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

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

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

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

Ego-Stengel, V. , Abbasi, A. , Larroche, M. , Lassagne, H. , Boubenec, Y. & Shulz, D. (2019). Mechanical coupling through the skin affects whisker movements and tactile information encoding. Journal of neurophysiology, 122(4), 1606-1622. doi:10.1152/jn.00863.2018

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2019). Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience , 22, 2066–2077. doi:10.1101/439885

Varnet, L., Langlet, C., Lorenzi, C., Lazard, D. & Micheyl, C. (2019). High-Frequency Sensorineural Hearing Loss Alters Cue-Weighting Strategies for Discriminating Stop Consonants in Noise. Trends in Hearing, 23. doi:10.1177/2331216519886707

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

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

Lebreton, M., Bacily , K., Palminteri, S. & Engelmann, J. (2019). Contextual influence on confidence judgments in human reinforcement learning. PLoS Comput Biol, 15(4), e1006973. doi:10.1371/journal.pcbi.1006973

Lebreton, M., Bavard, S., Daunizeau, J. & Palminteri, S. (2019). Assessing inter-individual differences with task-related functional neuroimaging. Nature Human Behaviour. doi:10.1038/s41562-019-0681-8

Fontanesi , L., Palminteri, S. & Lebreton, M. (2019). Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: A meta-analytical approach using diffusion decision modeling. Cognitive Affective Behavioral Neuroscience, 1-13. doi:10.3758/s13415-019-00723-1