Minguillon, J., Lopez-Gordo, M. A., & Martínez-Cañada, P. (2026). Next generation of brain-computer interfaces: A proposal for spikes detection based on CDMA and power domain nonorthogonal multiple access techniques. IEEE Transactions on Human-Machine Systems. doi: https://doi.org/10.1109/THMS.2026.3663792.

Cárdenas Sánchez, M., Orozco Valero, A., García, J. M., et al. (2026). A framework integrating spiking cortical circuit modeling and simulation-based inference to probe biomarkers of cortical dysfunction in Alzheimer’s disease. Interdisciplinary Sciences: Computational Life Sciences. doi: https://doi.org/10.1007/s12539-026-00817-8.

Ortiz, A., Gallego-Molina, N. J., Rodríguez-Rodríguez, I., Peinado, A., Gil-Montoya, M. D., Martínez-Cañada, P., & Morillas, C. (2025). Exploring brain lateralization using tensor decomposition of EEG phase-amplitude coupling. In International Work-Conference on Artificial Neural Networks (pp. 15-26). Springer Nature Switzerland. doi: https://doi.org/10.1007/978-3-032-02728-3_2.

Ávila-Muñoz, G., López-Gordo, M. A., & Rodríguez-Álvarez, M. (2025). Influence of red and blue virtual environments during a listening evaluation: A preliminary study of academic performance and subjective self-perception. In International Conference on Innovative Technologies and Learning (pp. 317-323). Springer Nature Switzerland. doi: https://doi.org/10.1007/978-3-031-98185-2_33.

Orozco Valero, A., Rodríguez-González, V., Montobbio, N., Casal, M. A., Tlaie, A., Pelayo, F., ... & Martínez-Cañada, P. (2025). A Python toolbox for neural circuit parameter inference. npj Systems Biology and Applications, 11 (1), 45. doi: https://doi.org/10.1038/s41540-025-00527-9.

Mancini, G., Martínez-Cañada, P., & Panzeri, S. (2025). A computational model for estimating NMDA properties from local field potential spectra. In International Conference on Brain Informatics (pp. 388-401). Springer Nature Singapore. doi: https://doi.org/10.1007/978-981-96-3294-7_30.

Sandron, A., Valero, A. O., García, J. M., Mancini, G., Pelayo, F., Morillas, C., ... & Martínez-Cañada, P. (2025). Evaluating feature importance in the context of simulation-based inference for cortical circuit parameter estimation. In International Conference on Brain Informatics (pp. 452-463). Springer Nature Singapore. doi: https://doi.org/10.1007/978-981-96-3294-7_35.

Lopez-Gordo, M. A., Geirnaert, S., & Bertrand, A. (2025). Unsupervised accuracy estimation for brain-computer interfaces based on selective auditory attention decoding. IEEE Transactions on Biomedical Engineering. doi: https://doi.org/10.1109/TBME.2025.3542253.

Montobbio, N., Maffulli, R., Abrol, A., & Martínez-Cañada, P. (2024). Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: From basic research to clinical applications. Frontiers in Computational Neuroscience, 18, 1514220. doi: https://doi.org/10.3389/fncom.2024.1514220.

Ávila-Muñoz, G., López-Gordo, M. A., & Rodríguez-Álvarez, M. (2024). Influence of color on academic performance: A studio with auditory sustained attention within a virtual scenario. In International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 528-538). Springer Nature Switzerland. doi: https://doi.org/10.1007/978-3-031-61140-7_50.

Lee, J., Lee, A. H., Leung, V., Laiwalla, F., Lopez-Gordo, M. A., Larson, L., & Nurmikko, A. (2024). An asynchronous wireless network for capturing event-driven data from large populations of autonomous sensors. Nature Electronics, 7 (4), 313-324. doi: https://doi.org/10.1038/s41928-024-01134-y.

Novo, A., Lobon, F., Garcia de Marina, H., Romero, S., & Barranco, F. (2024). Neuromorphic perception and navigation for mobile robots: A review. ACM Computing Surveys, 56 (10), 1-37. doi: https://doi.org/10.1145/3656469.

Pérez-Peña, A. M., Linares-Barranco, A., Casanueva-Morato, D., Barranco, F., & Romero, S. F. (2024). Performance analysis of CNNs deployed on low power architectures. In X Workshop in R&D+i & International Workshop on STEM of EPS (pp. 590-600). Springer Nature Switzerland. doi: https://doi.org/10.1007/978-3-031-64106-0_63.

Lorenz, G. M., Martínez-Cañada, P., & Panzeri, S. (2023). A model of the contribution of interneuron diversity to recurrent network oscillation generation and information coding. In International Conference on Brain Informatics (pp. 33-44). Springer Nature Switzerland. doi: https://doi.org/10.1007/978-3-031-43075-6_4.

Perez-Valero, E., Morillas, C., Lopez-Gordo, M. A., & Minguillon, J. (2023). Supporting the detection of early Alzheimer’s disease with a four-channel EEG analysis. International Journal of Neural Systems, 33 (04), 2350021. doi: https://doi.org/10.1142/S0129065723500211.

Fuentes-Martinez, V. J., Romero, S., Lopez-Gordo, M. A., Minguillon, J., & Rodríguez-Álvarez, M. (2023). Low-cost EEG multi-subject recording platform for the assessment of students’ attention and the estimation of academic performance in secondary school. Sensors, 23 (23), 9361. doi: https://doi.org/10.3390/s23239361.

Perez-Valero, E., Gutierrez, C. A. M., Lopez-Gordo, M. A., & Alcalde, S. L. (2023). Evaluating the feasibility of cognitive impairment detection in Alzheimer’s disease screening using a computerized visual dynamic test. Journal of NeuroEngineering and Rehabilitation, 20 (1), 43. doi: https://doi.org/10.1186/s12984-023-01155-2.

Martínez‐Cañada, P., Perez‐Valero, E., Minguillon, J., Pelayo, F., López‐Gordo, M. A., & Morillas, C. (2023). Combining aperiodic 1/f slopes and brain simulation: An EEG/MEG proxy marker of excitation/inhibition imbalance in Alzheimer's disease. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 15 (3), e12477. doi: https://doi.org/10.1002/dad2.12477.

Lee, J., Lee, A., Leung, V., Laiwalla, F., Lopez-Gordo, M., Larson, L., & Nurmikko, A. (2023). Asynchronous wireless network for transmission of neural data from thousands of autonomous microimplants. In 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS) (pp. 1-5). IEEE. doi: https://doi.org/10.1109/BioCAS58349.2023.10388891.

Minguillon, J., Volosyak, I., Guger, C., Tangermann, M., & Lopez, M. A. (2022). Brain-computer interfaces: Novel applications and interactive technologies. Frontiers in Computational Neuroscience, 16, 939202. doi: https://doi.org/10.3389/fncom.2022.939202.

Perez-Valero, E., Minguillon, J., Morillas, C., Pelayo, F., & Lopez-Gordo, M. A. (2022). Detection of Alzheimer’s disease using a four-channel EEG montage. In International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 436-445). Springer International Publishing. doi: https://doi.org/10.1007/978-3-031-06242-1_43.

Perez-Valero, E., Morillas, C., Lopez-Gordo, M. A., Carrera-Muñoz, I., López-Alcalde, S., & Vílchez-Carrillo, R. M. (2022). An automated approach for the detection of Alzheimer's disease from resting state electroencephalography. Frontiers in Neuroinformatics, 16, 924547. doi: https://doi.org/10.3389/fninf.2022.924547.

Perez-Valero, E., Lopez-Gordo, M. Á., Gutiérrez, C. M., Carrera-Muñoz, I., & Vílchez-Carrillo, R. M. (2022). A self-driven approach for multi-class discrimination in Alzheimer's disease based on wearable EEG. Computer Methods and Programs in Biomedicine, 220, 106841. doi: https://doi.org/10.1016/j.cmpb.2022.106841.

Martínez-Cañada, P., Ness, T. V., Einevoll, G. T., Fellin, T., & Panzeri, S. (2021). Computation of the electroencephalogram (EEG) from network models of point neurons. PLoS Computational Biology, 17 (4), e1008893. doi: https://doi.org/10.1371/journal.pcbi.1008893.

Martínez-Cañada, P., Noei, S., & Panzeri, S. (2021). Inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures. In International Conference on Brain Informatics (pp. 3-12). Springer International Publishing. doi: https://doi.org/10.1007/978-3-030-86993-9_1.

Martínez-Cañada, P., Noei, S., & Panzeri, S. (2021). Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures. Brain Informatics, 8 (1), 27. doi: https://doi.org/10.1186/s40708-021-00148-y.

Martínez-Cañada, P., & Panzeri, S. (2021). Spectral properties of local field potentials and electroencephalograms as indices for changes in neural circuit parameters. In International Conference on Brain Informatics (pp. 115-123). Springer International Publishing. doi: https://doi.org/10.1007/978-3-030-86993-9_11.

Vaquero-Blasco, M. A., Perez-Valero, E., Morillas, C., & Lopez-Gordo, M. A. (2021). Virtual reality customized 360-degree experiences for stress relief. Sensors, 21 (6), 2219. doi: https://doi.org/10.3390/s21062219.

Perez-Valero, E., Vaquero-Blasco, M. A., Lopez-Gordo, M. A., & Morillas, C. (2021). Quantitative assessment of stress through EEG during a virtual reality stress-relax session. Frontiers in Computational Neuroscience, 15, 684423. doi: https://doi.org/10.3389/fncom.2021.684423.

Lopez-Gordo, M. A., Kohlmorgen, N., Morillas, C., & Pelayo, F. (2021). Performance prediction at single-action level to a first-person shooter video game. Virtual Reality, 25 (3), 681-693. doi: https://doi.org/10.1007/s10055-020-00482-2.

Perez-Valero, E., Lopez-Gordo, M. A., & Vaquero-Blasco, M. A. (2021). EEG-based multi-level stress classification with and without smoothing filter. Biomedical Signal Processing and Control, 69, 102881. doi: https://doi.org/10.1016/j.bspc.2021.102881.

Perez‐Valero, E., Lopez‐Gordo, M. A., & Vaquero‐Blasco, M. A. (2021). An attention‐driven videogame based on steady‐state motion visual evoked potentials. Expert Systems, 38 (4), e12682. doi: https://doi.org/10.1111/exsy.12682.

Perez-Valero, E., Lopez-Gordo, M. A., Morillas, C., Pelayo, F., & Vaquero-Blasco, M. A. (2021). A review of automated techniques for assisting the early detection of Alzheimer’s disease with a focus on EEG. Journal of Alzheimer's Disease, 80 (4), 1363-1376. doi: https://doi.org/10.3233/JAD-201455.

Trakoshis, S., Martínez-Cañada, P., Rocchi, F., Canella, C., You, W., Chakrabarti, B., ... & Lombardo, M. V. (2020). Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women. eLife, 9, e55684. doi: https://doi.org/10.7554/eLife.55684.

Vaquero-Blasco, M. A., Perez-Valero, E., Lopez-Gordo, M. A., & Morillas, C. (2020). Virtual reality as a portable alternative to chromotherapy rooms for stress relief: A preliminary study. Sensors, 20 (21), 6211. doi: https://doi.org/10.3390/s20216211.

Di Stasi, L. L., Diaz-Piedra, C., Morales, J. M., Kurapov, A., Tagliabue, M., Bjärtå, A., ... & Catena, A. (2020). A cross-cultural comparison of visual search strategies and response times in road hazard perception testing. Accident Analysis & Prevention, 148, 105785. doi: https://doi.org/10.1016/j.aap.2020.105785.