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Currículo

Paulo Ricardo Protachevicz

Founder & Applied AI Scientist — Prota AI

e-mail: protachevicz@gmail.com

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Formação acadêmica

2016 – 2020 — Ph.D. em Ciências, área de concentração Física
Universidade Estadual de Ponta Grossa (UEPG), Ponta Grossa, Brasil

Título: Firing Patterns in Neuronal Networks. Orientador: Prof. Dr. Antonio Marcos Batista. Bolsa: CAPES.

2014 – 2016 — Mestrado em Ciências, área de concentração Física
Universidade Estadual de Ponta Grossa (UEPG), Ponta Grossa, Brasil

Título: Study of the Dynamic Range in Neural Networks Modeled by Cellular Automaton. Orientador: Prof. Dr. Antonio Marcos Batista. Bolsa: CAPES.

2010 – 2013 — Bacharelado em Física
Universidade Estadual de Ponta Grossa (UEPG), Ponta Grossa, Brasil

Tema de pesquisa: Methods to Calculate Lyapunov Exponent to Detect Chaos in Non-Linear Dynamic System. Orientador: Prof. Dr. José Danilo Szezech Jr. Bolsa: CNPq.

Experiência de pesquisa e pós-doutorados

2025 – atual — Coordenador de Projeto, Neurociência Computacional, Análise de Dados e IA
State University of Ponta Grossa (UEPG), Ponta Grossa, Paraná, Brasil

Projeto: Analysis and Prediction of Neuronal Activity Using Artificial Intelligence Techniques.

  • Desenvolvimento de modelos computacionais de redes neuronais operando perto de regimes críticos.
  • Aplicação de aprendizado não supervisionado e redução de dimensionalidade para identificar padrões em dados de atividade neural.
  • Modelos probabilísticos para prever transições patológicas, incluindo crises epilépticas.
  • Simulação de modelos neuronais biologicamente realistas (Hodgkin-Huxley, AdEx) com entradas estocásticas e plasticidade sináptica.
  • Integração de machine learning com simulações em larga escala para diagnóstico precoce de distúrbios neurológicos.
2025 – 2026 — Postdoctoral Research Fellow, Electrical Engineering and Industrial Informatics
Federal University of Technology – Paraná, Curitiba, Paraná, Brasil

Projeto: Detection, prediction and prevention of epileptic seizures in a neuronal network model. Supervisor: Prof. Dr. Paulo José Abatti. Bolsa: CAPES.

2023 – 2024 — Visiting Scientist, Physics
Potsdam Institute for Climate Research Impact, Potsdam, Alemanha

Projeto: Synchronization in Neuronal Networks with Long-Term Synaptic Plasticity. Supervisor: Prof. Dr. Jürgen Kurths. Bolsa: FAPESP.

2022 – 2023 — Honorary Research Fellow, Physics
University of Aberdeen, Aberdeen, Reino Unido

Projeto: Neuronal Networks with Short-term Synaptic Plasticity. Supervisor: Prof. Dr. Murilo da Silva Baptista. Bolsa: FAPESP.

2020 – 2024 — Postdoctoral Research Fellow, Applied Physics
Universidade de São Paulo (USP), São Paulo, Brasil

Projeto: Synaptic Plasticity in Neuronal Network. Supervisor: Prof. Dr. Iberê Luiz Caldas. Bolsa: FAPESP.

Projetos de pesquisa

2024 – atual — Detection, prediction and prevention of epileptic seizures in a neural network model

Desenvolvimento de um modelo computacional de rede neural inspirado em redes biológicas para simular atividade cerebral saudável e patológica, com foco em detecção precoce de crises e estratégias de controle, incluindo estimulação neuronal direcionada. Colaborador: Prof. Dr. Paulo José Abatti.

2023 – atual — Synchronization in Neuronal Networks with Long-Term Synaptic Plasticity

Investigação de redes neuronais submetidas a correntes de entrada aleatórias e periódicas, com modelos computacionais que incorporam dinâmica neuronal biologicamente plausível e regras de plasticidade sináptica. Colaborador: Prof. Dr. Jürgen Kurths.

2022 – atual — Neuronal Networks with Short-Term Synaptic Plasticity

Como diferentes regimes de plasticidade de curto prazo se relacionam à sincronização normal e anormal da rede neuronal, e como entradas de sinal externo afetam a dinâmica neuronal. Colaborador: Prof. Dr. Murilo da Silva Baptista.

2020 – atual — Synaptic plasticity in neuronal networks

Influência da plasticidade sináptica (curto e longo prazo) na obtenção de padrões de disparo síncronos e assíncronos, relevante para doenças como Parkinson e epilepsia. Colaborador: Prof. Dr. Iberê Luiz Caldas.

2019 – atual — Synchronous behaviour in stochastic neuronal networks

Relação entre sincronização fraca e estrutura de rede em redes clusterizadas modelando o córtex cerebral. Colaboradores: Prof. Dr. Kelly C. Iarosz e Prof. Dr. Chris Antonopoulos. Coordenador: Antonio M. Batista.

2018 – atual — Coupled System Dynamics Analysis

Dinâmica de sistemas complexos acoplados não lineares, modelados via autômatos celulares, mapas acoplados ou equações diferenciais, com foco em sincronização de disparos neurais.

2014 – 2016 — Study of Dynamic Range in Neuronal Network Modeled by Cellular Automaton

Modelo de autômatos celulares para investigar como a topologia influencia a faixa dinâmica de redes neuronais.

Formação complementar

  • 2025 — Applied Machine Learning: Algorithms. LinkedIn Learning.
  • 2024 — Training Neural Networks in C++, Deep Learning: Model Optimization and Tuning, Machine Learning with Scikit-Learn. LinkedIn Learning.
  • 2024 — Data Science Tools. IBM (DS0105EN).
  • 2024 — ML and AI with Python; Introduction to Data Science with Python. HarvardX.
  • 2024 — The Complete Python Developer. Udemy.
  • 2024 — Introduction to Data Science. IBM (DS0101EN).
  • 2022 — Certificated Machine Learning Course. Stanford University, Prof. Andrew Ng.
  • 2022 — C Standard Library; C Programming for Embedded Applications; Level Up: C Programming; Complete Guide to C Programming Foundations. LinkedIn Learning.
  • Diversos workshops e escolas internacionais: XLIV Dynamics Days 2024 (Alemanha), XXII Conference on Non-equilibrium Statistical Mechanics and Nonlinear Physics, School on Modeling Infectious Disease Dynamics, Workshop on Dynamical Processes on Complex Networks (ICTP), Non-autonomous Dynamics in Complex Systems (Max-Planck-Institut), Simulating a Hippocampus Microcircuit (EPFL), LASCON — VII Latin American School on Computational Neuroscience, entre outros (lista completa no PDF).

Publicações (50 artigos revisados por pares)

Lista completa, em ordem cronológica de submissão original. Links completos disponíveis no PDF do currículo ou no Google Scholar.

  1. Protachevicz, P.R. et al. How synapses can enhance sensibility of a neural network. Physica A, 492, 1045-1052, 2017. Artigo →
  2. Borges, R.R.; Borges, F.S.; Lameu, E.L.; Protachevicz, P.R. et al. Synaptic plasticity and spike synchronisation in neuronal networks. Brazilian Journal of Physics, 47, 678-688, 2017. Artigo →
  3. Borges, F.S.; Protachevicz, P.R. et al. Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model. Neural Networks, 90, 1-7, 2017. Artigo →
  4. Lameu, E.L.; Macau, E.E.N.; Borges, F.S.; Protachevicz, P.R. et al. Alterations in brain connectivity due to plasticity and synaptic delay. European Physical Journal Special Topics, 227, 673-682, 2018. Artigo →
  5. Borges, F.S.; Lameu, E.L.; Protachevicz, P.R. et al. Inference of topology and the nature of synapses in neuronal networks. Physical Review E, 97, 022303, 2018. Artigo →
  6. Lameu, E.L.; Yanchuk, S.; Macau, E.E.N.; Protachevicz, P.R. et al. Recurrence quantification analysis for burst phase synchronisation. Chaos, 28, 085701, 2018. Artigo →
  7. Protachevicz, P.R.; Borges, R.R. et al. Synchronous behaviour in network model based on human cortico-cortical connections. Physiological Measurement, 39, 074006, 2018. Artigo →
  8. Kan, M.T.V.; Trobia, J.; Protachevicz, P.R. et al. Synchronization of coupled neurons in a master-slave configuration. Mathematics in Engineering, Science and Aerospace, 10, 55-64, 2019. Artigo →
  9. Protachevicz, P.R.; Borges, F.S. et al. Bistable firing pattern in a neural network model. Frontiers in Computational Neuroscience, 13, 1-8, 2019. Artigo →
  10. Santos, M.S.; Protachevicz, P.R. et al. Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network. Chaos, 29, 043106, 2019. Artigo →
  11. Borges, F.S.; Protachevicz, P.R. et al. Bistable firing patterns: understanding how epileptic seizures are triggered. BMC Neuroscience, 20, 56, 2019. Artigo →
  12. Protachevicz, P.R.; Iarosz, K.C.; Caldas, I.L.; Antonopoulos, C.G.; Batista, A.M.; Kurths, J. Influence of autapses on synchronization in neural networks with chemical synapses. Frontiers in Systems Neuroscience, 14, 1-13, 2020. Artigo →
  13. Protachevicz, P.R.; Borges, F.S. et al. Influence of delayed conductance on neuronal synchronization. Frontiers in Physiology, 11, 1-9, 2020. Artigo →
  14. Borges, F.S.; Protachevicz, P.R. et al. Self-sustained activity of low firing rate in balanced networks. Physica A, 537, 122671, 2020. Artigo →
  15. Lameu, E.L.; Borges, F.S.; Iarosz, K.C.; Protachevicz, P.R. et al. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, 105689, 2020. Artigo →
  16. Santos, M.S.; Protachevicz, P.R. et al. Spiral wave chimera states in regular and fractal neuronal networks. Journal of Physics: Complexity, 2, 015006, 2020. Artigo →
  17. Trobia, J.; Gabrick, E.C.; Seifert, E.G.; Borges, F.S.; Protachevicz, P.R. et al. Effects of drug resistance in the tumour-immune system with chemotherapy treatment. Pramana Journal of Physics, 2020. Artigo →
  18. Borges, F.S.; Protachevicz, P.R. et al. Influence of inhibitory synapses on the criticality of excitable neuronal networks. Pramana Journal of Physics, 2020. Artigo →
  19. Protachevicz, P.R.; Santos, M.S. et al. Noise induces continuous and noncontinuous transitions in neuronal interspike intervals range. Pramana Journal of Physics, 2020. Artigo →
  20. Silveira, J.A.P.; Protachevicz, P.R.; Viana, R.L.; Batista, A.M. Effects of burst-timing-dependent plasticity on synchronous behaviour in neuronal network. Neurocomputing, 433, 126-135, 2021. Artigo →
  21. Protachevicz, P.R.; Hansen, M.; Iarosz, K.C.; Caldas, I.L.; Batista, A.M.; Kurths, J. Emergence of neuronal synchronization in coupled areas. Frontiers in Computational Neuroscience, 15, 1-12, 2021. Artigo →
  22. Trobia, J.; Tian, K.; Batista, A.M.; Grebogi, C.; Ren, H.; Santos, M.S.; Protachevicz, P.R. et al. Mathematical model of brain tumour growth with drug resistance. Communications in Nonlinear Science and Numerical Simulation, 106013, 2021. Artigo →
  23. Protachevicz, P.R.; Hansen, M.; Iarosz, K.C.; Caldas, I.L.; Batista, A.M. Influence of the connectivity on the synchronization of two coupled neuronal networks. Journal of Computational Neuroscience, 49, 3-208, 2021. Artigo →
  24. Mugnaine, M.; Gabrick, E.C.; Protachevicz, P.R. et al. Control attenuation and temporary immunity in a cellular automata SEIR epidemic model. Chaos, Solitons & Fractals, 155, 111784, 2022. Artigo →
  25. Hansen, M.; Protachevicz, P.R.; Iarosz, K.C.; Caldas, I.L.; Batista, A.M.; Macau, E.E.N. Dynamics of uncoupled and coupled neurons under an external pulsed current. Chaos, Solitons & Fractals, 155, 111734, 2022. Artigo →
  26. Gabrick, E.C.; Protachevicz, P.R. et al. Effect of two vaccine doses in the SEIR epidemic model using a stochastic cellular automaton. Physica A, 127258, 2022. Artigo →
  27. Protachevicz, P.R.; Bonin, C.A.; Iarosz, K.C.; Caldas, I.L.; Batista, A.M. Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron. Cognitive Neurodynamics, 1-10, 2022. Artigo →
  28. Trobia, J.; Souza, S.L.T.; Santos, M.A.; Szezech Jr., J.D.; Batista, A.M.; Borges, R.R.; Pereira, L.S.; Protachevicz, P.R. et al. On the dynamical behaviour of a glucose-insulin model. Chaos, Solitons & Fractals, 155, 1-8, 2022. Artigo →
  29. Hansen, M.; Protachevicz, P.R.; Iarosz, K.C.; Caldas, I.L.; Batista, A.M.; Macau, E.E.N. The effect of time delay for synchronisation suppression in neuronal networks. Chaos, Solitons & Fractals, 2022. Artigo →
  30. Yang, C.; Santos, M.S.; Protachevicz, P.R.; Reis, P.D.C. et al. Chimera states induced by spike timing-dependent plasticity in a regular neuronal network. AIP Advances, 2022. Artigo →
  31. Borges, F.S.; Gabrick, E.C.; Protachevicz, P.R. et al. Intermittency properties in a temporal lobe epilepsy model. Epilepsy & Behavior, 139, 109072, 2023. Artigo →
  32. Gabrick, E.C.; Sayari, E.; Protachevicz, P.R. et al. Unpredictability in seasonal infectious diseases spread. Chaos, Solitons & Fractals, 166, 113001, 2023. Artigo →
  33. Sayari, E.; Batista, A.M.; Gabrick, E.C.; Iarosz, K.C.; Protachevicz, P.R. et al. Analysing bursting synchronization in the structural connectivity matrix of a human brain under external pulsed currents. Chaos, 33, 033131, 2023. Artigo →
  34. Protachevicz, P.R.; Borges, F.S. et al. Plastic neural network with transmission delays promotes equivalence between function and structure. Chaos, Solitons & Fractals, 171, 113480, 2023. Artigo →
  35. Iarosz, K.C.; Gabrick, E.C.; Trobia, J.; Borges, R.R.; Protachevicz, P.R. et al. Chaotic dynamics in memristive circuits. Revista Brasileira de Ensino de Física, 45, 2023. Artigo →
  36. Boaretto, B.R.R.; Protachevicz, P.R.; Hansen, M. et al. Phase synchronization in a sparse network of randomly connected neurons under effect of Poissonian spike inputs. Chaos, 33, 123115, 2023. Artigo → (preprint)
  37. Borges, F.S.; Protachevicz, P.R. et al. The roles of Potassium and Calcium currents in the bistable firing transition. Brain Sciences, 3(9), 1347, 2023. Artigo →
  38. Gabrick, E.C.; Protachevicz, P.R.; Lenzi, E.K. et al. Fractional diffusion equation under general kernel and its stability. Fractal and Fractional, 7(11), 792, 2023. Artigo →
  39. Souza, D.L.; Seifert, E.G.; Gabrick, E.C.; Borges, F.S.; Lenzi, E.K.; Trobia, J.; Iarosz, K.C.; Batista, A.M.; Caldas, I.L.; Protachevicz, P.R. Adaptive exponential integrate-and-fire model with fractal extension. Brain Sciences, 34(2), 2024. Artigo →
  40. Gabrick, E.C.; Protachevicz, P.R. et al. Transient dynamics of fractional Fisher equation. Fractal and Fractional, 8(3), 143, 2024. Artigo →
  41. Protachevicz, P.R.; Batista, A.M.; Caldas, I.L.; Baptista, M.S. Analytical solution to short-term plasticity. Chaos, Solitons & Fractals, 181, 114678, 2024. Artigo → (preprint)
  42. Souza, D.L.M.; Borges, F.S.; Gabrick, E.C.; Bentivoglio, L.E.; Protachevicz, P.R. et al. Spiral wave dynamics in a neuronal network model. Journal of Physics: Complexity, 5, 025010, 2024. Artigo → (preprint)
  43. da Silva, S.T.; Gabrick, E.C.; Protachevicz, P.R. et al. When climate variables improve the dengue forecasting: a machine learning approach. EPJ Special Topics, 2024. Artigo →
  44. Gabrick, E.C.; Brugnago, E.L.; de Moraes, A.L.R.; Protachevicz, P.R. et al. Control, bi-stability and preference for chaos in time-dependent vaccination campaign. Chaos, 34, 1-13, 2024. Artigo →
  45. Bentivoglio, L.E.; Souza, D.L.M.; Gabrick, E.C.; Protachevicz, P.R. et al. Collapse of multi-headed chimera states in neuronal networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(9), 2025. Artigo →
  46. Boaretto, B.R.R.; Protachevicz, P.R.; Hansen, M.; Medrano, R.O.; Macau, E.E.N.; Grebogi, C. Complex Bifurcation Structures in a Hodgkin–Huxley Model of Thermally Sensitive Neurons under Periodic Perturbation. Physical Review E, 111(5), L052203, 2026. Artigo →
  47. Pirola, J.P.; DeForest, P.; Protachevicz, P.R.; Fontenas, L.; Ferreira, R.F.; Pena, R.F.O. Astrocytic Signatures in Neuronal Activity: A Machine Learning-Based Identification Approach. Cognitive Neurodynamics, 19(1), 89. Artigo →
  48. Protachevicz, P.R.; Santos, M.S. et al. Synaptic potentiation dependence on spike variability. European Physical Journal Special Topics. Artigo →
  49. Souza, D.L.M.; Bentivoglio, L.E.; Gabrick, E.C.; Protachevicz, P.R. et al. Neuronal silence as a predictive biomarker and target for epileptic seizures suppression. Scientific Reports, 16, 16732, 2026. Artigo →
  50. Santos, M.S.; Trobia, J.; Ferreira, J.Z.; Protachevicz, P.R. et al. Seasonality-induced riddling in conceptual model for global changes. Frontiers in Forest and Global Change, 2026. Artigo →

Palestras convidadas (seleção)

  • 2024 — The Influence of Chemical Synapses in Neuronal Synchronization. National Institute of Health (NIH/NINDS), grupo do Prof. Dr. Jeff Duyn.
  • 2024 — Synchronization in Neuronal Networks. University of Chicago, grupo do Prof. Jorge Jaramillo.
  • 2024 — Influence of Chemical Synapses on Neuronal Synchronization. ETH Zurich / University of Zurich, grupo do Prof. Dr. Janos Vörös.
  • 2023 — Past research achievements and future research interests. Max Planck Institute for Dynamics and Self-Organization, grupo da Prof. Dr. Viola Priesemann.
  • 2023 — Synchronization and Synaptic Plasticity. UC San Diego, grupo do Prof. Dr. Maxim V. Bazhenov.
  • 2023 — Synchronization in neuronal networks with long-term synaptic plasticity. University College Cork, grupo do Prof. Dr. Serhiy Yanchuk.
  • 2023 — A model for epileptic seizures. University of Aberdeen, grupo do Prof. Dr. Murilo da Silva Baptista.
  • 2024 — Perspectives on the field of Computational Neuroscience. Donders Institute, Radboud University, grupo da Prof. Dr. Fleur Zeldenrust.
  • Demais palestras (1st Applied Course of Computational Neuroscience, CNS*2021, Dynamics Days Latin America, São Paulo School of Advanced Sciences, entre outras) — lista completa no PDF.

Bolsas e financiamentos

  • 2025-2029 — Research Funding Fellow, análise e predição de atividades neuronais com IA. CNPq.
  • 2024-2025 — Postdoc Research Fellow, detecção e predição de crises epilépticas. CAPES.
  • 2023-2024 — Visiting Scientist Fellowship, Potsdam Institute for Climate Impact Research. FAPESP.
  • 2022-2023 — Honorary Research Fellowship, University of Aberdeen. FAPESP.
  • 2020-2024 — Postdoc Research Fellowship, University of São Paulo. FAPESP.
  • 2016-2020 — PhD Fellowship in Science/Physics. CAPES.
  • 2014-2016 — Master Fellowship in Science/Physics. CAPES.
  • 2010-2013 — Undergrad Fellowship to Research (2 bolsas). CNPq.

Atividade acadêmica e institucional

Membro de comitê consultivo: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), desde 2022.

Corpo editorial: Frontiers in Physics; Frontiers in Network Physiology (3 seções); Brain Sciences (MDPI) — desde 2022/2023.

Revisor: mais de 30 periódicos desde 2019, incluindo Chaos, Physical Review E, Scientific Reports, IEEE Access, Frontiers in Computational Neuroscience, Cognitive Neurodynamics, Nonlinear Dynamics, Physica A, entre outros (lista completa no PDF).