Publications

Schlenker, P. (2021). Non-local Attachment of Clauses: Evidence from ASL. Natural Language & Linguistic Theory, 39(4), 1-36. doi:10.1007/s11049-020-09486-8

Schlenker, P. & Lamberton, J. (2021). Meaningful Blurs: the Sources of Repetition-based Plurals in ASL. Linguistics and Philosophy, 45, 201-264. doi:10.1007/s10988-020-09312-9

Schlenker, P. & Lamberton, J. (2021). Focus and Intensification in the Semantics of Brow Raise. Glossa: a journal of general linguistics, 6(1), 102. doi:10.16995/glossa.5706

Schlenker, P. (2021). Musical meaning within Super Semantics. Linguistics and Philosophy , 45, 795–872. doi:10.1007/s10988-021-09329-8

Schlenker, P. (2021). Triggering Presuppositions. Glossa, 6(1), 35. doi:10.5334/gjgl.1352

Yesilaltay , S., Hacquin, A., Chevallier, C. & Mercier, H. (2021). Information delivered by a chatbot has a positive impact on COVID-19 vaccines attitudes and intentions. Journal of Experimental Psychology: Applied. doi:10.1037/xap0000400

Sablé{-}meyer, M. & Mascarenhas, S. (2021). Indirect Illusory Inferences From Disjunction: A New Bridge Between Deductive Inference and Representativeness . Review of Philosophy and Psychology, ., 1–26. doi:10.1007/s13164-021-00543-8

Mascarenhas, S. (2021). A Note on the Cardinalities of Sets of Scalar Alternatives . Journal of Semantics, 38(3), 473–482. doi:10.1093/jos/ffab011

Kuhn, J., Sheng, H. & Schlenker, P. (2021). Timelines and Temporal Pointing in Chinese Sign Language. Glossa: a journal of general linguistics, 6(1), 133. doi:10.16995/glossa.5836

Caziot, B. & Mamassian, P. (2021). Perceptual confidence judgments reflect self-consistency. Journal of Vision, 21(12), 8. doi:10.1167/jov.21.12.8

Rahnev, D., Balsdon, T., Charles, L., de Gardelle, V., Denison, R., Desender, K., Faivre, N., Filevich, E., Fleming, S., Jehee, J., Lau, H., Lee, A., Locke, S., Mamassian, P., Odegaard, B., Peters, M., Reyes, G., Rouault, M., Sackur, J., Samaha, J., Sergent, C., Sherman, M., Siedlecka, M., Soto, D., Vlassova, A. & Zylberberg, A. (2022). Consensus goals for the field of visual metacognition. Perspectives on Psychological Science, . doi:10.1177/17456916221075615

Grinfeder, E., Lorenzi, C., Haupert, S. & Sueur, J. (2022). What Do We Mean by “Soundscape”? A Functional Description. Front. Ecol. Evol, 10, 894232. doi:10.3389/fevo.2022.894232

Li, K., Rajendran, V., Mishra, A. , Chan, C. & Schnupp, J. (2021). Interaural time difference tuning in the rat inferior colliculus is predictive of behavioral sensitivity. Hearing Research, 409, 108331. doi:10.1016/j.heares.2021.108331

Di Liberto, G., Hjortkjær, J. & Nima, M. (2022). Neural Tracking: Closing the Gap Between Neurophysiology and Translational Medicine. Front. Neurosci. doi:10.3389/fnins.2022.872600

Attaheri, A. , Choisdealbha, Á. , Di Liberto, G., Rocha, S. , Brusini, P. , Mead, N. , Olawole-Scott, H. , Boutris, P., Gibbon, S. , Williams, I. , Grey, C. , Flanagan, S. & Goswami, U. (2022). Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. NeuroImage, 247, 118698. doi:10.1016/j.neuroimage.2021.118698

Neri, P. (2022). Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations Author links open overlay panel. Neural Networks, 152, 244-266. doi:10.1016/j.neunet.2022.04.023

Ota, K. , Wu, Q. , Mamassian, P. & Maloney, L. (2021). Modeling visual estimation of the centers of symmetric distributions. , 21(9), 2381. doi:10.1167/jov.21.9.2381

Balsdon, T., Mamassian, P. & Wyart, V. (2021). Neural signatures of confidence after the completion of a perceptual decision. Journal of Vision, 21(9). doi:10.1167/jov.21.9.2518

Mamassian, P. (2022). Uncertain perceptual confidence. Nature Human Behaviour, 6, 179-180. doi:10.1038/s41562-021-01248-9

Kurzawski, J., Lunghi, C., Biagi, L., Tosetti, M., Maria Concetta, M. & Binda, P. (2022). Short-term plasticity in the human visual thalamus. eLife, 11. doi:10.7554/eLife.74565

Osses , A. , Varnet, L., Carney, L. , Dau, T. , Bruce, I. , Verhulst, S. & Majdak, P. (2022). A comparative study of eight human auditory models of monaural processing. Acta Acustica, 6(17), 24. doi:10.1051/aacus/2022008

M Siriwardena, Y., Marion, G. & Shamma, S. (2022). The Mirrornet: Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 946-950. doi:10.1109/ICASSP43922.2022.9747358

Parikh, R. , Kavalerov, I. , Espy-Wilson, C. & Shamma, S. (2022). Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 536-540. doi:10.1109/ICASSP43922.2022.9747314

Agus, T. & Pressnitzer, D. (2021). Repetition detection and rapid auditory learning for stochastic tone clouds. The Journal of the Acoustical Society of America, 150, 1735. doi:10.1121/10.0005935

Graves, J., Egré, P., Pressnitzer, D. & de Gardelle, V. (2021). An implicit representation of stimulus ambiguity in pupil size. , Vol. 18: In Proceedings of the National Academy of Sciences, e2107997118. doi:10.1073/pnas.2107997118

Berthommier, F. & Lorenzi, C. (2021). Implications of Physiological Mechanisms of Amplitude Modulation Processing for Modeling Complex Sounds Analysis and Separation. (pp. 12). doi:10.1201/9781003064183

Varnet, L. & Lorenzi, C. (2022). Probing temporal modulation detection in white noise using intrinsic envelope fluctuations: A reverse-correlation study. Journal of the Acoustical Society of America, 151(2), 1353-1366. doi:10.1121/10.0009629

Caucheteux, C. & King, J. (2022). Brains and algorithms partially converge in natural language processing. Nature Communications Biology , 5, 134. doi:10.1038/s42003-022-03036-1

Lemi, L. , Gwilliams, L., Samaha, J., Auksztulewicz, R., M Cycowicz, Y. , King, J. , Nikulin, V., Thesen, T. , Doyle, W. , Devinsky, O. , E Schroeder, C. , Melloni, L. & Haegens, S. (2022). Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. NeuroImage , 247, 118746. doi:10.1016/j.neuroimage.2021.118746

Meso, A., Gekas, N., Mamassian, P. & Masson, G. (2022). Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions. eNeuro, 13(9), 3. doi:10.1523/ENEURO.0511-21.2022