Gemignani, J., and Gervain, J. "Brain responses to repetition-based rule-learning do not exhibit sex differences: an aggregated analysis of infant fNIRS studies." Scientific Reports 14.1 (2024): 1-18, DOI: 10.1038/s41598-024-53092-2

Alemi, R., Wolfe, J., Neumann, S., ... Gemignani, J., ... & Deroche, M. (2023). Motor Processing in Children With Cochlear Implants as Assessed by Functional Near-Infrared Spectroscopy. Perceptual and Motor Skills, 00315125231213167, DOI: 10.1177/00315125231213167

Gemignani J., de la Cruz-Pavia I., Martinez A., Nallet C., Pasquini A., Lucarini G., Cavicchiolo F., Gervain J. (2023) "Reproducibility of infant fNIRS studies: a meta-analytic approach". Neurophotonics 10(2), 023518, DOI: 10.1117/1.NPh.10.2.023518

Gemignani J. (2021) "Classification of fNIRS data with LDA and SVM: a proof-of-concept for application in infant studies" in press in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, DOI: 10.1109/EMBC46164.2021.9629951 (download)

Gemignani J. and Gervain J. (2021) "A practical guide for synthetic fNIRS data generation", in press in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, DOI: 10.1109/EMBC46164.2021.9631014  (download)

Gemignani, J., & Gervain, J. (2021). Comparing different pre-processing routines for infant fNIRS data. Developmental Cognitive Neuroscience, 100943, DOI: 10.1016/j.dcn.2021.100943 (open access)

Riccardi, A., Gemignani, J., Fernández-Navarro, F., & Heffernan, A. (2021). Optimisation of non-pharmaceutical measures in COVID-19 growth via neural networks. IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2020.3046012  (download)

Gemignani, J., Bayet, L., Kabdebon, C., Blankertz, B., Pugh, K. R., & Aslin, R. N. (2018, July). Classifying the mental representation of word meaning in children with Multivariate Pattern Analysis of fNIRS. In Engineering in Medicine and Biology Society (EMBC) 2018 40th Annual International Conference of the IEEE (pp. 295-298). IEEE. DOI: 10.1109/EMBC.2018.8512209 (download)

Gemignani J., Middell E., Barbour R.L., Graber H.L., Blankertz B., Improving the analysis of near-infrared spectroscopy data with multivariate classification of hemodynamic patterns: A theoretical formulation and validation (2018), Journal of Neural Engineering, 15(4), DOI: 10.1088/1741-2552/aabb7c (download)

Fisher, S. P., Cui, N., McKillop, L. E., Gemignani, J., Bannerman, D. M., Oliver, P. L., Peirson S.N and Vyazovskiy, V. V. (2016). Stereotypic wheel running decreases cortical activity in mice. Nature communications, 7, 13138, DOI: 10.1038/ncomms13138 (download)

Gemignani, J., Gheysens, T., & Summerer, L. (2015, August). Beyond astronaut's capabilities: The current state of the art. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (pp. 3615-3618). IEEE. DOI: 10.1109/EMBC.2015.7319175  (download)

Gemignani, J., Agrimi, J., Cheli, E., Gemignani, A., Laurino, M., Allegrini, P., Landi A. and Menicucci, D. (2015, August). Pattern recognition with adaptive-thresholds for sleep spindle in high density EEG signals. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (pp. 594-597). IEEE. DOI: 10.1109/EMBC.2015.7318432  (download)

Carpi, F., Frediani, G., Gerboni, C., Gemignani, J., & De Rossi, D. (2014). Enabling variable-stiffness hand rehabilitation orthoses with dielectric elastomer transducers. Medical engineering and physics, 36(2), 205-211. DOI: 10.1016/j.medengphy.2013.10.015  (download)