Publications

Grèzes, J. & Dezecache, G. (2014). Bases cérébrales et cognitives de la communication émotionnelle. In M. Botbol (Eds.), L'empathie au carrefour des sciences et de la cliniqueJohn Libbey Eurotext

Lorna F, H., Rosen , S., Outi, T. & Calcus, A. (2019). Impaired Frequency Selectivity and Sensitivity to Temporal Fine Structure, but Not Envelope Cues, in Children With Mild-To-Moderate Sensorineural Hearing Loss. J Acoust Soc Am., 146(6), 4299. doi:10.1121/1.5134059

Maldonado, M., Chemla, E. & Spector, B. (2019). Revealing abstract semantic mechanisms through priming: The distributive/collective contrast. Cognition, 182, 171-176. doi:10.1016/j.cognition.2018.09.009

Liuni, M., Ponsot, E., Bryant, P. & Aucouturier, J. (2020). Sound context modulates perceived vocal emotion. Behavioural Processes, 172, 104042. doi:10.1016/j.beproc.2020.104042

Thoret, E., Gauriau, C., Andrillon, T., Pressnitzer, D. & Léger, D. (2020). 0293 Sleep Deprivation Affects the Acoustic Properties of Human Speech. Sleep, 43(1), A111. doi:10.1093/sleep/zsaa056.290

Kim, S., Sodian, B. & Proust, J. (2020). 12- and 24-Month-Old Infants’ Search Behavior Under Informational Uncertainty . Frontiers in Psychology, 11. doi:10.3389/fpsyg.2020.00566

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

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

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

Scheer, V. , Blanco, C. , Olfson, M. , Lemogne, C. , Airagnes, G. , Peyre, H., Limosin, F. & Nicolas, H. (2020). A comprehensive model of predictors of suicide attempt in individuals with panic disorder: Results from a national 3-year prospective study. General Hospital Psychiatry, 67, 127-135. doi:10.1016/j.genhosppsych.2020.09.006

Proust, J. (2002). A Critical Review of G. Lynn Stephens & G. Graham's When Self-Consciousness Breaks. Philosophical Psychology , 15(4), 543–550

Varnet, L., Ortiz-Barajas, M., Erra, R., Gervain, J. & Lorenzi, C. (2017). A cross-linguistic study of speech modulation spectra. The Journal of the Acoustical Society of America, 142(4), 1976. doi:10.1121/1.5006179

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

White, S., Frith, U., Milne, E., Rosen, S., Swettenham, J. & Ramus, F. (2006). A double dissociation between sensorimotor impairments and reading disability: A comparison of autistic and dyslexic children. Cognitive neuropsychology, 23(5), 748-61. doi:10.1080/02643290500438607

Altarelli, I., Monzalvo, K., Iannuzzi, S., Fluss, J., Billard, C., Ramus, F. & Dehaene-Lambertz, G. (2013). A functionally guided approach to the morphometry of occipitotemporal regions in developmental dyslexia: evidence for differential effects in boys and girls. The Journal of neuroscience : the official journal of the Society for Neuroscience, 33(27), 11296-301. doi:10.1523/JNEUROSCI.5854-12.2013

Williams, C., Labouret, G., Wolfram, T., Peyre, H. & Ramus, F. (2023). A General Cognitive Ability Factor for the UK Biobank. Behavior genetics, 53(2), 85-100. doi:10.1007/s10519-022-10127-6

Latimier, A., Peyre, H. & Ramus, F. (2020). A Meta-Analytic Review of the Benefit of Spacing out Retrieval Practice Episodes on Retention. Educational Psychology Review, 33(3), 959-987. doi:10.1007/s10648-020-09572-8

Loza, E. , Amsellem, F., Zalla, T., Cartigny, A. , Leboyer, M., Delorme, R., Ramus, F. & Forgeot D'Arc, B. (2023). A mind-reading puzzle: Autistic people are more efficient at a theory-of-mind task. Research in Autism Spectrum Disorders, 101, 102105. doi:10.1016/j.rasd.2023.102105

Meddis, R., Delahaye, R., O'Mard, L., Summer, C., Fantini, D., Winter, I. & Pressnitzer, D. (2002). A model of signal processing in the cochlear nucleus: Comodulation masking release. Acta Acustica united with Acustica, 88(3), 387-398

Occelli, F., Suied, C., Pressnitzer, D., Edeline, J. & Gourévitch, B. (2016). A Neural Substrate for Rapid Timbre Recognition? Neural and Behavioral Discrimination of Very Brief Acoustic Vowels. Cerebral Cortex, 26(6), 2483-2496. doi:10.1093/cercor/bhv071

Ramus, F. (2013). A neurological model of dyslexia and other domain-specific developmental disorders with an associated sensorimotor syndrome. (pp. 75-102). doi:10.4324/9780203774915

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

Schlenker, P. (2010). A Phonological Condition that Targets Discontinuous Syntactic Units: ma/mon suppletion in French. Snippets(22), 11-13

Proust, J. (2001). A Plea for Mental Acts. Synthese, 129(1), 105–128

Schlenker, P. (2002). A Plea for Monsters . Linguistics and Philosophy, 26(1), 29–120. doi:10.1023/A:1022225203544

Helming, K., Strickland, B. & Jacob, P. (2016). A pragmatic approach to the puzzle about early belief ascription. Mind & Language, 31(4), 438-469

Ramus, F., Peperkamp, S., Christophe, A., Jacquemot, C., Kouider, S. & Dupoux, E. (2010). A Psycholinguistic Perspective on the Acquisition of Phonology. In C. Fougeron (Eds.), Laboratory Phonology (Vol. 10 ).De Gruyter Mouton

Oster, A. & Gutkin, B. (2011). A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting. Journal of Physiology Paris, 105, 53-58. doi:10.1016/j.jphysparis.2011.07.012

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064