Publications

Vacher, J. , Mamassian, P. & Coen-Cagli, R. (2020). Measuring and Modeling Human Probabilistic Segmentation Maps. Journal of Vision, 20(11), 260. doi:10.1167/jov.20.11.260

Balsdon, T. & Clifford, C. (2017). A bias-minimising measure of the influence of head orientation on perceived gaze direction. Scientific reports, 7, 41685. doi:10.1038/srep41685

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

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Lelièvre, P. & Neri, P. (2021). A deep-learning framework for human perception of abstract art composition. Journal of vision, 21(5), 9. doi:10.1167/jov.21.5.9

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

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

Hansmann-Roth, S. & Mamassian, P. (2017). A Glossy Simultaneous Contrast: Conjoint Measurements of Gloss and Lightness. i-Perception, 8(1), 2041669516687770. doi:10.1177/2041669516687770

de Vignemont, F. (2021). A Minimal Sense of Here-ness. The Journal of Philosophy, 118(4), 169-187. doi:10.5840/jphil2021118413

Gutkin, B., Dehaene, S. & Changeux, J. (2006). A neurocomputational hypothesis for nicotine addiction. Proceedings of the National Academy of Sciences of the United States of America, 103(4), 1106-1111. doi:10.1073/pnas.0510220103

Lunghi, C., Sframeli, A. , Lepri, A., Lepri, M., Lisi, D., Sale, A. & Morrone, M. (2018 ). A new counterintuitive training for adult amblyopia. Annals of Clinical and Translational Neurology. doi:10.1002/acn3.698

Gekas, N., Meso, A., Masson, G. & Mamassian, P. (2017). A Normalization Mechanism for Estimating Visual Motion across Speeds and Scales. Current Biology, 27(10), 1514-1520.e3. doi:10.1016/j.cub.2017.04.022

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, .

Balsdon, T. & Mamassian, P. (2019). A Reverse Hierarchy for Perceptual Confidence? Perception, 48, 191-192

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

Ponsot, E., Susini, P. & Meunier, S. (2015). A robust asymmetry in loudness between rising- and falling-intensity tones. Attention, perception & psychophysics, 77(3), 907-20. doi:10.3758/s13414-014-0824-y

Casillas , M. & Cristia, A. (2019). A step-by-step guide to collecting and analyzing long-format speech environment (LFSE) recordings. Collabra: Psychology, 5(1), 24. doi:10.1525/collabra.209

Dumont, G., Payeur , A. & Longtin , A. (2017). A stochastic-field description of finite-size spiking neural networks. PLoS Comput Biol, 13(8), e1005691. doi:10.1371/journal.pcbi.1005691

Wang, X., Du, J., Cristia, A., Sun, L. & Lee, C. (2020). A Study of Child Speech Extraction Using Joint Speech Enhancement and Separation in Realistic Conditions. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 7304-7308. doi:10.1109/ICASSP40776.2020.9053875

Cristia, A. (2023). A systematic review suggests marked differences in the prevalence of infant‐directed vocalization across groups of populations. Developmental Science, 26(1), e13265. doi:10.1111/desc.13265

Cristia, A. (2023). A systematic review suggests marked differences in the prevalence of infant-directed vocalization across groups of populations. Developmental science, 26(1), e13265. doi:10.1111/desc.13265

Cristia, A. (2022). A systematic review suggests marked differences in the prevalence of infant-directed vocalization across groups of populations. Developmental Science. doi:10.1111/desc.13265

Cristia, A., Lavechin, M., Scaff, C., Soderstrom, M., Rowland , C., Räsänen, O., Bunce , J. & Bergelson, E. (2020). A thorough evaluation of the Language Environment Analysis (LENA) system. Behavior Research Methods, 53, 467-486. doi:10.3758/s13428-020-01393-5

Pérez-Cervera, A. , Gutkin, B., J Thomas, P. & Lindner, B. (2023). A universal description of stochastic oscillators. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2303222120. doi:10.1073/pnas.2303222120

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

Cristia, A., Bulgarelli, F. & Bergelson, E. (2020). Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review. , 1-13. doi:10.1044/2020_JSLHR-19-00017

Wang, Y., Seidl, A. & Cristia, A. (2015). Acoustic-phonetic differences between infant- and adult-directed speech: the role of stress and utterance position. Journal of child language, 42(4), 821-842. doi:10.1017/S0305000914000439

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925

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