Publications

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

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

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

Arcangeli, M. & Dokic, J. (2020). A plea for the Sublime in science. In S. French & M. Ivanova (Eds.), The Aesthetics of Science: Beauty, Imagination and Understanding (Routledge ed., pp. 104-124). doi:10.4324/9780429030284-6

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

Casati, R. & Varzi, A. (2020). A Slow Impossible Mirror Picture. Perception , 49(12), 1375-1378. doi:10.1177/0301006620967882

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

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

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

Lazarevich, I. , Stasenko , S., Rozhnova , M., Pankratova , E., Dityatev, A. & et al., .. (2020). Activity-dependent switches between dynamic regimes of extracellular matrix expression. PLoS ONE, 15(1). doi:10.1371/journal.pone.0227917

Buchin, A., Kerr, C., Huberfeld, G., Miles, R. & Gutkin, B. (2018). Adaptation and Inhibition Control Pathological Synchronization in a Model of Focal Epileptic Seizure. eNeuro, 5(5), 0019-18. doi:10.1523/ENEURO.0019-18.2018

Ghambaryan, A., Gutkin, B., Klucharev, V. & Koechlin, E. (2021). Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments. Frontiers in Neuroscience, . doi:10.3389/fnins.2021.704728

Tsuji, S., Cristia, A., Franck , M. & Bergmann, C. (2020). Addressing Publication Bias in Meta-Analysis: Empirical Findings From Community-Augmented Meta-Analyses of Infant Language Development. Zeitschrift für Psychologie, 228(1), 50-61. doi:10.1027/2151-2604/a000393

Arcangeli, M. & Dokic, J. (2018). Affective Memory: A Little Help From Our Imagination. In K. Michaelian, D. Debus, D. Perrin (Eds.), New Directions in the Philosophy of Memory, (pp. 139–157).Routledge,

Räsänen, O., Seshadri, S., Lavechin, M., Cristia, A. & Casillas , M. (2021). ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings. Behav Res, 53, 818–835. doi:10.3758/s13428-020-01460-x

Cristia, A., Dupoux, E., Hakuna, Y., Lloyd-Fox, S., Schuetze, M., Kivits, J., Bergvelt, T., Van Gelder, M., Filippin, L., Charron, S. & Minagawa-Kawai, Y. (2013). An online database of infant functional Near InfraRed Spectroscopy studies: A community-augmented systematic review. PLoS One, 8(3), e58906. doi:10.1371/journal.pone.0058906