Publications

Kriegel, U. (2018). Brentano’s Dual-Framing Theory of Consciousness. Philosophy and Phenomenological Research, 97(1), 79-98. doi:10.1111/phpr.12327

Kriegel, U. (2017). Brentano’s Evaluative-Attitudinal Account of Will and Emotion. Revue Philosophique de la France Et de l'Etranger , 142(4), 529-558

Kriegel, U. (2017). Brentano's Philosophical Program. (pp. 21–32 ).

Kriegel, U. (2018). Brentano's Philosophical System: Mind, Being, Value .

Boubenec, Y., Lawlor, J., Shamma, S. & Englitz, B. (2016). Change Detection in Auditory Textures. Advances in experimental medicine and biology, 894, 229-239. doi:10.1007/978-3-319-25474-6_24

Agus, T., Suied, C., Thorpe, S. & Pressnitzer, D. (2010). Characteristics of human voice processing. , 2010

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

Chambon, V., Thero, H., Vidal, M., Vandendriessche, C., Haggard, P. & Palminteri, S. (2020). Choosing and learning: outcome valence differentially affects learning from free versus forced choices. Nature Human Behaviour, .

Dokic, J. (2018). Comments on “Postures of listening” by Victor A. Stoichita and Bernd Brabec de Mori. Terrain. Anthropologie et sciences humaines

Apelian, C., de Vignemont, F. & B Terhune, D. (2023). Comparative effects of hypnotic suggestion and imagery instruction on bodily awareness. Consciousness and cognition, 108, 103473. doi:10.1016/j.concog.2023.103473

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

de Cheveigné, A., Edeline, J., Gaucher, Q. & Gourévitch, B. (2013). Component analysis reveals sharp tuning of the local field potential in the guinea pig auditory cortex. Journal of neurophysiology, 109(1), 261-72. doi:10.1152/jn.00040.2012

Findling, C. & Wyart, V. (2021). Computation noise in human learning and decision-making: origin, impact, function. Current Opinion in Behavioral Sciences, 38, 124-132. doi:10.1016/j.cobeha.2021.02.018

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

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

Balsdon, T., Wyart, V. & Mamassian, P. (2020). Confidence controls perceptual evidence accumulation. Nature Communications, 11(1), 1753. doi:10.1038/s41467-020-15561-w

Giustina, A. (2017). Conscious Unity From the Top Down: A Brentanian Approach. The Monist, 100(1 ), 16–37

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Maier, J., Mcalpine, D., Klump, G. & Pressnitzer, D. (2010). Context effects in the discriminability of spatial cues. Journal of the Association for Research in Otolaryngology : JARO, 11(2), 319-28. doi:10.1007/s10162-009-0200-0

Varnet, L., Agnès C., L., Boucher, S. , Bonnet, C. , Petit, C. & Lorenzi, C. (2021). Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis. Front. Aging Neurosci., 13, 83. doi:10.3389/fnagi.2021.640522

Bravard, R., Demany, L. & Pressnitzer, D. (2023). Controlling audibility with noise for online experiments using sound. JASA express letters, 3(6), 064402. doi:10.1121/10.0019807

Di Liberto, G., PELOFI, C., Bianco, R. , Patel, P. , Mehta, A. , Herrero, J. , de Cheveigné, A., Shamma, S. & Mesgarani, N. (2021). Cortical encoding of melodic expectations in human temporal cortex. e-Life, 9, e51784. doi:10.7554/eLife.51784

Ruggles, D., Tausend, A., Shamma, S. & Oxenham, A. (2018). Cortical markers of auditory stream segregation revealed for streaming based on tonotopy but not pitch. The Journal of the Acoustical Society of America, 144(4), 2424. doi:10.1121/1.5065392

Défossez, A., Caucheteux, C. , Rapin, J. & King, J. (2023). Decoding speech perception from non-invasive brain recordings. Nature Machine Intelligence volume, 5, 1097–1107. doi:10.1038/s42256-023-00714-5

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

de Cheveigné, A., Wong, D., Di Liberto, G., Hjortkjær, J., Slaney, M. & Lalor, E. (2018). Decoding the auditory brain with canonical correlation analysis. NeuroImage, 172, 206-216. doi:10.1016/j.neuroimage.2018.01.033

Caucheteux, C. , Gramfort, A. & King, J. (2022). Deep language algorithms predict semantic comprehension from brain activity. , 1é(16327). doi:10.1038/s41598-022-20460-9

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

de Vignemont, F. (2023). Désenchanter le corps.

Boubenec, Y., Lawlor, J., Górska, U., Shamma, S. & Englitz, B. (2017). Detecting changes in dynamic and complex acoustic environments. eLife, 6. doi:10.7554/eLife.24910