Journals
Souza de Abreu, R.; Silva, I.; Nunes, Y.T.; Moioli, R.C.; Guedes, L.A. Advancing Fault Prediction: A Comparative Study between LSTM and Spiking Neural Networks. Processes 2023, 11, 2772. https://doi.org/10.3390/pr11092772
Pimentel, J. M., Moioli, R.C., de Araujo, M., Vargas, P.A. An Integrated Neurorobotics Model of theCerebellar-Basal Ganglia Circuitry. International Journal of Neural Systems (2023). doi: 10.1142/S0129065723500594
Lopes PH, Wellacott L, de Almeida L, Villavicencio LMM, Moreira ALdL, Andrade DS, Carvalho AM, Souza R, Silva PS, Lima L, Lones M, Nascimento JD, Vargas PA, Moioli RC, Figuerola WA, Rennó-Costa C. Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modelling study of the City of Natal PLOS Glob Public Health 2(10): e0000540. https://doi.org/10.1371/journal.pgph.0000540
Ranieri, C.M., Moioli, R.C., Vargas, P.A. Roseli A. F. Romero. A neurorobotics approach to behaviour selection based on human activity recognition. Cogn Neurodyn (2022). https://doi.org/10.1007/s11571-022-09886-z
H. Siljak, P. H. J. Nardelli and R. C. Moioli, "Cyborg Insects: Bug or a Feature?," in IEEE Access, vol. 10, pp. 49398-49411, 2022, doi: 10.1109/ACCESS.2022.3172980.
Ranieri, C. M, Pimentel, J. M., Romano, M., Elias, L., Romero, R. A. F., Lones, M. A., Araujo, M. F. P., Vargas, P. A., & Moioli, R. C. (2021) A data-driven biophysical computational model of Parkinson's Disease based on marmoset monkeys. IEEE Access, 9:122548–122567.
Moioli, R. C., Nardelli, P. H. J., Barros, M. T., Saad, W., Hekmatmanesh, A., Silva, P. E. G., de Sena, A. S., Dzaferagic, M., Siljak, H., Van Leekwijck, W., Carrillo, D., & Latre, S. (2021). Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications. IEEE Communications Surveys and Tutorials, 23(3), 1599-1621. https://doi.org/10.1109/COMST.2021.3090778
Pimentel, J. M., Moioli, R. C., de Araujo, M., Ranieri, C. M., Romero, R., Broz, F., & Vargas, P. A. (2021). Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease. Front. Neurorobot., 15, 640449. https://doi.org/10.3389/fnbot.2021.640449
Pronin S, Wellacott L, Pimentel J, Moioli RC and Vargas PA (2021) Neurorobotic Models of Neurological Disorders: A Mini Review. Front. Neurorobot. 15:634045. doi: 10.3389/fnbot.2021.634045
Villar, F.S.; Nardelli, P.H.J.; Narayanan, A.; Moioli, R.C.; Azzini, H.; da Silva, L.C.P. Noninvasive Detection of Appliance Utilization Patterns in Residential Electricity Demand. Energies 2021, 14, 1563. https://doi.org/10.3390/en14061563
de Araújo GF, Moioli RC and de Souza SJ (2021) The Shared Use of Extended Phenotypes Increases the Fitness of Simulated Populations. Front. Genet. 12:617915. doi: 10.3389/fgene.2021.617915
Carla Pais-Vieira, Mehrab Allahdad, João Neves-Amado, André Perrotta, Edgard Morya, Renan Moioli, Elena Shapkova, Miguel Pais-Vieira, Method for positioning and rehabilitation training with the ExoAtlet ® powered exoskeleton, MethodsX, Volume 7, 2020, 100849, ISSN 2215-0161, doi:10.1016/j.mex.2020.100849, 2020.
Faro, H. K. C., Machado , D. G. S., Bortolotti, H., Nascimento, P. H. D., Moioli, R. C., Elsangedy, H. M. and Fontes, E. B. Influence of Judo Experience on Neuroelectric Activity During a Selective Attention Task. Front. Psychol. 10:2838. doi: 10.3389/fpsyg.2019.02838 (2020)
Kunicki, A. C. B., Moioli, R. C., Pais-Vieira, M., Peres, A. S. C., Morya, E. and Nicolelis, M. A. L. . Frequency-specific coupling in fronto-parieto-occipital cortical circuits underlie active tactile discrimination. Nature Scientific Reports v. 9: 5105 (2019)
Deolindo C. S., Kunicki, A. C. B., da Silva, M. I., Brasil, F. and Moioli, R. C. . Neuronal Assemblies Evidence Distributed Interactions within a Tactile Discrimination Task in Rats. Front. Neural Circuits 11:114, doi: 10.3389/fncir.2017.00114, , 2018
Macedo Silva, I.; Moioli, R. C. . A method for creating interactive, user-resembling avatars. PeerJ Computer Science 3:e128, doi.org/10.7717/peerj-cs.128, 2017. (top 5 read PeerJ CS article, 2017)
McConnell, A. C.; Moioli, R. C.; Brasil, F. L.; Vallejo, M.; Corne, D.; Vargas, P.; Stokes, A. . Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke. Journal of Rehabilitation Medicine v. 49, p. 449-460, 2017.
McConnell, A. C.; Vallejo, M.; Moioli, R. C.; Brasil, F. L.; Secciani, N.; Nemitz, M. P., Riquart, C. P.; Corne, D. W.; Vargas, P. A.; and Stokes, A. A. . SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid. Frontiers in Mechanical Engineering, doi: 10.3389/fmech.2017.00003, 2017.
Donati, A. R. C. ; Shokur, S.; Morya, E.; Campos, D. S. F. ; Moioli, R. C.; Gitti, C. M.; Augusto, P. B.; Tripodi, S.; Pires, C. G.; Pereira, G. A.; Brasil, F. L.; Gallo, S.; Lin, A.; Takigami, A. K.; Aratanha, M. A.; Joshi, S.; Bleuler, H.; Cheng, G.; Rudolph, A.; Nicolelis, M. A. L. . Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients. Nature Scientific Reports, v. 6, p. 30383, 2016. (top 100 read SR article, 2016; Media coverage: The Guardian, CNN, Scientific American, Science)
Shokur, S.; Gallo, S.; Moioli, R. C.; Donati, A. R. C.; Morya, E.; Bleuler, H.; Nicolelis, M. A. L. . Assimilation of virtual legs and perception of floor texture by complete paraplegic patients receiving artificial tactile feedback. Nature Scientific Reports, v. 6, p. 32293, 2016.
Moioli, R. C.; Husbands, P. . Neuronal Assembly Dynamics in Supervised and Unsupervised Learning Scenarios. Neural Computation, v. 1, p. 1-42, 2013.
Moioli, R. C.; Vargas, P. A. ; Husbands, P. . Synchronisation effects on the behavioural performance and information dynamics of a simulated minimally cognitive robotic agent. Biological Cybernetics, v. 106, p. 407-427, 2012.
Vargas, P. A. ; Moioli, R. C. ; Zuben, F. J. V. ; Husbands, P. . Homeostasis and evolution together dealing with novelties and managing disruptions. International Journal of Intelligent Computing and Cybernetics, v. 2, p. 435-454, 2009. (Emerald highly commended award)
Book chapters
Vargas, P. A. ; Brasil, F. L.; McConnell, A. C. ; Vallejo, M. ; Corne, D. W. ; Stokes, A. A. ; Moioli, R. C. . Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation. Biosystems & Biorobotics. 15ed.: Springer International Publishing, p. 1257-1262, 2017.
Pereira, H. S. G. ; Moioli, R. C. ; Brasil, F. L.; Kunicki, C. ; Araujo, M. ; Morya, E. . Neurociência aplicada as práticas tecnológicas. In: Saba, Jorge, Souza (Org.). Pesquisa Aplicada & Inovação. 1ed.: , v. 1, p. 15-32, 2016.
Husbands, Phil ; Moioli, R. C.; Moioli, R. C. ; Shim, Y. ; Phillippides, A. ; Vargas, P. A. ; O'Shea, M. . Evolutionary Robotics and Neuroscience. In: Vargas, Di Paolo, Harvey, Husbands (Org.). The Horizons of Evolutionary Robotics. 1ed.: MIT Press, v. 1, p. 17-56, 2014.
Moioli, R. C.; Vargas, P. A. ; Husbands, P. . The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive Agent. In: Diamantaras, Duch, Iliadis (Org.). Proceedings of the 20th international conference on Artificial Neural Networks: Part II. 1ed.: Springer Berlin Heidelberg, v. 6353, p. 245-255, 2010.
Moioli, R. C.; Vargas, P. A. ; Von Zuben, F. J. ; Husbands, P. . Evolving an Artificial Homeostatic System. In: Zaverucha, Loureiro da Costa. (Org.). Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence. 1ed.: , v. 5249, p. 278-288, 2008.
Moioli, R. C.; Vargas, P. A. ; Von Zuben, F. J. . Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks. In: Bacardit, J.; Bernado Mansilla, E.; Butz, M.; Kovacs, T.; Llora, X.; Takadama, K.. (Org.). Learning Classifier Systems. 1ed.: Springer Berlin Heidelberg, v. 4998, p. 286-305, 2008.
Vargas, P. A. ; Moioli, R. C. ; de Castro, L. N. ; Timmis, J. ; Neal, M. ; Von Zuben, F. J. . Artificial Homeostatic System: A Novel Approach. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, v. 3630, p. 754-764, 2005.
Full papers in conference proceedings
Galdino, L., Kunicki, A.C., Filho, L.C.N., Moioli, R.C., Araújo, M.F.P. (2022). A Single Administration of GBR 12909 Alters Basal Mesocorticolimbic Activity. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_322
A. Neto, L. d. Silva, R. Moioli, F. Brasil and J. J. P. C. Rodrigues, "Predicting Epileptic Seizures: Case Studies Harnessing Machine Learning," ICC 2020 - 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6, doi: 10.1109/ICC40277.2020.9148967.
Ranieri, C., Moioli, R., Romero, R., de Araújo, M., Santana, M., Pimentel, J., Vargas, P. "Unveiling Parkinson’s Disease Features from a Primate Model with Deep Neural Networks," 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207180.
Romano, M., Moioli, R., Elias, L. Evaluation of Frequency-Dependent Effects of Deep Brain Stimulation in a Cortex-Basal Ganglia-Thalamus Network Model of Parkinson’s Disease. In: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, Canada, pp. 3638-3641, 2020 doi.org/10.1109/EMBC44109.2020.9176570
Gajadhar, A.; Moioli, R.; Melo, B.; Kunicki, A.; Peres, A.; Gaudencio, T. . Neural decoding with SVM and feature selection in a rat active tactile discrimination task. In: 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, pp. 1-6, 2018.
Pessin, G.; Osório, F. S. ; Ueyama, J. ; Wolf, D. F. ; Moioli, R. C. ; Vargas, P. A. . Self-localisation in indoor environments combining learning and evolution with wireless networks. In: Proceedings of the 29th Annual ACM Symposium on Applied Computing - SAC '14, Gyeongju, pp. 661, 2014.
Sardeto, C. D. ; Kunicki, C.; Brasil, F. L.; Moioli, R. C. . Limitations of principal component analysis as a method to detect neuronal assemblies.. In: IEEE 16th International Conference on E-health Networking, Application & Services, Natal, pp. 24-30, 2014.
Moioli, R. C.; Vargas, P. A. ; Husbands, P. . Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks. In: IEEE World Congress on Computational Intelligence, Barcelona, pp. 2483-2490, 2010. (best student paper award)
Moioli, R. C.; Vargas, P. A. ; Husbands, P. . A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot. In: 2009 IEEE Congress on Evolutionary Computation, Trondheim, pp. 47-54, 2009.
Moioli, R. C.; Vargas, P. A. ; Von Zuben, F. J. ; Husbands, P. . Towards the evolution of an artificial homeostatic system. In: IEEE World Congress on Computational Intelligence, Hong Kong, pp. 4023-4030, 2008.