Publications

Viarouge, A., Hubbard, E., Dehaene, S. & Sackur, J. (2010). Number line compression and the illusory perception of random numbers. Experimental psychology, 57(6), 446-54. doi:10.1027/1618-3169/a000055

Vuillaume , L., Martin, J., Sackur, J. & Cleeremans, A. (2020). Comparing self- and hetero-metacognition in the absence of verbal communication. Plos One. doi:10.1371/journal.pone.0231530

Wallaert, N., Varnet, L., Moore, B. & Lorenzi, C. (2018). Sensorineural hearing loss impairs sensitivity but spares temporal integration for detection of frequency modulation. J Acoust Soc Am. , 144(2), 720. doi:10.1121/1.5049364

Wallaert, N., Moore, B., Ewert, S. & Lorenzi, C. (2017). Sensorineural hearing loss enhances auditory sensitivity and temporal integration for amplitude modulation. The Journal of the Acoustical Society of America, 141(2), 971. doi:10.1121/1.4976080

Wallaert, N., Moore, B. & Lorenzi, C. (2016). Comparing the effects of age on amplitude modulation and frequency modulation detection. The Journal of the Acoustical Society of America, 139(6), 3088. doi:10.1121/1.4953019

Widmer, G., Rocchesso, D., Välimäki, V., Erkut, C., Gouyon, F., Pressnitzer, D., Penttinen, H., Polotti, P. & Volpe, G. (2007). Sound and music computing: Research trends and some key issues. Journal of New Music Research, 36(3), 169-184. doi:10.1080/09298210701859222

Wierzcho, M., Anzulewicz, A., Hobot, J., Paulewicz, B. & Sackur, J. (2019). In Search of the Optimal Measure of Awareness: Discrete or Continuous? . Consciousness and Cognition, 75, 102798. doi:10.1016/j.concog.2019.102798

Wilcox, E. & Spector, B. (2019). The Role of Prior Beliefs in The Rational Speech Act Model of Pragmatics: Exhaustivity as a Case Study. In CogSci, 3099-3105.

Winkowski, D., Nagode, D., Donaldson, K., Yin, P., Shamma, S., Fritz, J. & Kanold, P. (2018). Orbitofrontal Cortex Neurons Respond to Sound and Activate Primary Auditory Cortex Neurons. Cerebral cortex , 28(3):868-879(3), 868-879. doi:10.1093/cercor/bhw409

Wong, D., Di Liberto, G. & de Cheveigné, A. (2019). Accurate Modeling of Brain Responses to Speech. bioRxiv. doi:10.1101/509307

Wong, D., Fuglsang , S., Hjortkjær, J., Ceolini, E., Slaney, M. & de Cheveigné, A. (2018). A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding. Frontiers in Neuroscience, 12, 1-16. doi:10.3389/fnins.2018.00531

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

Yin, P., Shamma, S. & Fritz, J. (2016). Relative salience of spectral and temporal features in auditory long-term memory. The Journal of the Acoustical Society of America, 140(6), 4046. doi:10.1121/1.4968395

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

Zuberbühler, K., Chemla, E. & Schlenker, P. (2021). Stereotyped vocalizations. Encyclopedia of Evolutionary Psychological Science (pp. 7970-7974).Springer. doi:10.1007/978-3-319-16999-6_3330-1

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.