Publications

Léger, A., Ives, D. & Lorenzi, C. (2014). Abnormal intelligibility of speech in competing speech and in noise in a frequency region where audiometric thresholds are near-normal for hearing-impaired listeners. Hearing research, 316, 102-9. doi:10.1016/j.heares.2014.07.008

Lorenzi, C., Debruille, L., Garnier, S., Fleuriot, P. & Moore, B. (2009). Abnormal processing of temporal fine structure in speech for frequencies where absolute thresholds are normal. The Journal of the Acoustical Society of America, 125(1), 27-30. doi:10.1121/1.2939125

Léger, A., Moore, B. & Lorenzi, C. (2012). Abnormal speech processing in frequency regions where absolute thresholds are normal for listeners with high-frequency hearing loss. Hearing research, 294(1-2), 95-103. doi:10.1016/j.heares.2012.10.002

Balsdon, T. & Azzopardi, P. (2015). Absolute and relative blindsight. Consciousness and cognition, 32, 79-91. doi:10.1016/j.concog.2014.09.010

King, A., Varnet, L. & Lorenzi, C. (2019). Accounting for masking of frequency modulation by amplitude modulation with the modulation filter-bank concept. The Journal of the Acoustical Society of America, 145, 2277. doi:10.1121/1.5094344

Di Liberto, G., Marion, G. & Shamma, S. (2021). Accurate Decoding of Imagined and Heard Melodies. Frontiers in Neuroscience, 15, 673401. doi:10.3389/fnins.2021.673401

Di Liberto, G., Marion, G. & Shamma, S. (2021). Accurate decoding of imagined and listened melodies. Frontiers in Neuroscience. doi:10.3389/fnins.2021.673401

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

Pressnitzer, D. & Mcadams, S. (2000). Acoustics, psychoacoustics and spectral music. Contemporary Music Review, 19(2), 33-59. doi:10.1080/07494460000640251

Cusack, J., Williams, J. & Neri, P. (2015 Feb 4). Action perception is intact in autism spectrum disorder. The Journal of neuroscience : the official journal of the Society for Neuroscience, 35(5), 1849-57. doi:10.1523/JNEUROSCI.4133-13.2015

Fritz, J., Elhilali, M. & Shamma, S. (2005). Active listening: task-dependent plasticity of spectrotemporal receptive fields in primary auditory cortex. Hearing research, 206(1-2), 159-76. doi:10.1016/j.heares.2005.01.015

Novikov, N., Zakharov, D., Moiseeva, V. & Gutkin, B. (2021). Activity Stabilization in a Population Model of Working Memory by Sinusoidal and Noisy Inputs. Front. Neural Circuits. doi:10.3389/fncir.2021.647944

Gekas, N. & Mamassian, P. (2021). Adaptation to one perceived motion direction can generate multiple velocity aftereffects. Journal of Vision, 21, 17. doi:10.1167/jov.21.5.17

Shamma, S. & Fritz, J. (2014). Adaptive auditory computations. Current opinion in neurobiology, 25, 164-8. doi:10.1016/j.conb.2014.01.011

Fritz, J., Elhilali, M. & Shamma, S. (2007). Adaptive changes in cortical receptive fields induced by attention to complex sounds. Journal of neurophysiology, 98(4), 2337-46. doi:10.1152/jn.00552.2007

Maier, J., Hehrmann, P., Harper, N., Klump, G., Pressnitzer, D. & Mcalpine, D. (2012). Adaptive coding is constrained to midline locations in a spatial listening task. Journal of Neurophysiology, 108(7), 1856-1868. doi:10.1152/jn.00652.2011

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

Fritz, J., David, S., Radtke-Schuller, S., Yin, P. & Shamma, S. (2010). Adaptive, behaviorally gated, persistent encoding of task-relevant auditory information in ferret frontal cortex. Nature neuroscience, 13(8), 1011-9. doi:10.1038/nn.2598

Locke, S. & Robinson, J. (2021). Affective Bias Through the Lens of Signal Detection Theory. Computational Psychiatry, 5(1), 4. doi:10.5334/cpsy.58

Klever, L. , Mamassian, P. & Billino, J. (2022). Age-related differences in visual confidence are driven by individual differences in cognitive control capacities. Scientific Reports , 12(6016). doi:10.1038/s41598-022-09939-7

Balsdon, T. (2018). All is not lost: Post-saccadic contributions to the perceptual omission of intra-saccadic streaks. Consciousness and Cognition, 64, 19-31. doi:10.1016/j.concog.2018.05.004

Lunghi, C., Daniele, G. , Binda, P. , Dardano, A. , Ceccarini, G., Ferruccio, S. , Del Prato, S. & Maria Concetta Morrone, . (2019). Altered Visual Plasticity in Morbidly Obese Subjects. iScience, 22, 206-213. doi:10.1016/j.isci.2019.11.027

Mamassian, P. (2008). Ambiguities and conventions in the perception of visual art. Vision Research, 48(20), 2143-2153. doi:10.1016/j.visres.2008.06.010

Bacon, B. & Mamassian, P. (2002). Amodal completion and the perception of depth without binocular correspondence. Perception, 31(9), 1037-1045. doi:10.1068/p3305

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

Boubenec, Y., Claverie, L., Shulz, D. & Debrégeas, G. (2014). An amplitude modulation/demodulation scheme for whisker-based texture perception. The Journal of Neuroscience, 34(33), 10832-10843. doi:10.1523/JNEUROSCI.0534-14.2014

Mehta, A., Jacoby, N., Yasin, I., Oxenham, A. & Shamma, S. (2017). An auditory illusion reveals the role of streaming in the temporal misallocation of perceptual objects. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 372. doi:10.1098/rstb.2016.0114

Nelken, I. & de Cheveigné, A. (2013). An ear for statistics. Nature neuroscience, 16(4), 381-2. doi:10.1038/nn.3360

Vacher, J. , Mamassian, P. & Coen-Cagli, R. (2019). An Ideal Observer Model for Grouping and Contour Integration in Natural Images. Vision, 48, 88-88

Mamassian, P. & Coen-Cagli, R. (2018). An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. arXiv