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Published in Am. J. Phys., 2026
Citation: Denis Caprioti, Matheus Haas, Constantino Vasconcelos, Mauricio Girardi-Schappo (2026): Learning about learning: A path from spin glasses to artificial intelligence. Am. J. Phys. 94: 1036-1048. https://doi.org/10.1119/5.0322042
Published in Chaos, 2025
Citation: Luiz Caixeta, Matheus Gonçalves, M. Tragtenberg, Mauricio Girardi-Schappo (2025): Devil's staircase inside shrimp-shaped regions reveals periodicity of plateau spikes and bursts. Chaos 35: 033122. https://doi.org/10.1063/5.0250342
Published in Research Square, 2024
Citation: Patrick Morelo, Mauricio Girardi-Schappo, Bianca Paulino, Bóris Marin, Marcelo Tragtenberg (2024): Recovering from cardiac action potential pathologies: a dynamic view. Research Square PREPRINT: 10.21203/rs.3.rs-4433432/v1. https://dx.doi.org/10.21203/rs.3.rs-4433432/v1
Published in eLife, 2024
Citation: Jiayun Xu, Mauricio Girardi-Schappo, Jean-Claude Béïque, André Longtin, Leonard Maler (2024): Shortcutting from self-motion signals reveals a cognitive map in mice. eLife 13: RP95764. https://doi.org/10.7554/eLife.95764.4
Published in Chaos, 2024
Citation: Sue Rhâmidda, Mauricio Girardi-Schappo, Osame Kinouchi (2024): Optimal input reverberation and homeostatic self-organization toward the edge of synchronization. Chaos 34: 053127. https://dx.doi.org/10.1063/5.0202743
Published in J. Physiol., 2023
Citation: Anh-Tuan Trinh, Mauricio Girardi-Schappo, Jean-Claude Béïque, André Longtin, Leonard Maler (2023): Adaptive spike threshold dynamics associated with sparse spiking of hilar mossy cells are captured by a simple model. J. Physiol. 601: 4397--4422. https://dx.doi.org/10.1113/JP283728
Published in Chaos Solitons Fractals, 2022
Citation: Gustavo Menesse, Bóris Marin, Mauricio Girardi-Schappo, Osame Kinouchi (2022): Homeostatic Criticality in Neuronal Networks. Chaos Solitons Fractals 156: 111877. https://dx.doi.org/10.1016/j.chaos.2022.111877
Published in Front. Neural Circuits, 2021
Citation: Tawan Carvalho, Antonio Fontenele, Mauricio Girardi-Schappo, Thaís Feliciano, Leandro Aguiar, Thais Silva, Nivaldo Vasconcelos, Pedro Carelli, Mauro Copelli (2021): Subsampled Directed-Percolation Models Explain Scaling Relations Experimentally Observed in the Brain. Front. Neural Circuits 14: 576727. https://dx.doi.org/10.3389/fncir.2020.576727
Published in Epilepsia, 2021
Citation: Mauricio Girardi-Schappo, Fatemeh Fadaie, Hyo Lee, Benoit Caldairou, Viviane Sziklas, Joelle Crane, Boris Bernhardt, Andrea Bernasconi, Neda Bernasconi (2021): Altered communication dynamics reflect cognitive deficits in temporal lobe epilepsy. Epilepsia 62: 1022-1033. https://dx.doi.org/10.1111/epi.16864
Published in Eur. Phys. J. Spec. Top., 2021
Citation: Renan Shimoura, Rodrigo Pena, Vinicius Lima, Nilton Kamiji, Mauricio Girardi-Schappo, Antonio Roque (2021): Building a model of the brain: from detailed connectivity maps to network organization. Eur. Phys. J. Spec. Top. 230: 2887--2909. https://dx.doi.org/10.1140/epjs/s11734-021-00152-7
Published in J. Phys. Complex., 2021
Citation: Mauricio Girardi-Schappo (2021): Brain criticality beyond avalanches: open problems and how to approach them. J. Phys. Complex. 2: 031003. https://dx.doi.org/10.1088/2632-072x/ac2071
Published in J. Phys. Complex., 2021
Citation: Mauricio Girardi-Schappo, Emilio Galera, Tawan Carvalho, Ludmila Brochini, Nilton Kamiji, Antonio Roque, Osame Kinouchi (2021): A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking. J. Phys. Complex. 2: 045001. https://dx.doi.org/10.1088/2632-072x/ac2792
Published in Phys. Rev. Research, 2020
Citation: M. Girardi-Schappo, L. Brochini, A. Costa, T. Carvalho, O. Kinouchi (2020): Synaptic balance due to homeostatically self-organized quasicritical dynamics. Phys. Rev. Research 2: 012042(R). https://dx.doi.org/10.1103/PhysRevResearch.2.012042
Published in Phys. Life Rev., 2020
Citation: Mauricio Girardi-Schappo, Ariadne Costa (2020): Hints from statistical physics and graph theory to build synthetic connectomes: Comment on ``What would a synthetic connectome look like?'' by I. Rabinowitch. Phys. Life Rev. 33: 19--21. https://dx.doi.org/10.1016/j.plrev.2020.03.001
Published in Rev. Bras. Ensino Fis., 2020
Citation: Vinicius Lima, Fernanda Dellajustina, Renan Shimoura, Mauricio Girardi-Schappo, Nilton Kamiji, Rodrigo Pena, Antonio Roque (2020): Granger causality in the frequency domain: derivation and applications. Rev. Bras. Ensino Fis. 42: e20200007. https://dx.doi.org/10.1590/1806-9126-rbef-2020-0007
Published in Phys. Lett. A, 2019
Citation: Mauricio Girardi-Schappo, M. Tragtenberg (2019): Comment on ``Convergence towards asymptotic state in 1-D mappings: A scaling investigation''. Phys. Lett. A 383(36): 126031. https://dx.doi.org/10.1016/j.physleta.2019.126031
Published in Phys. Rev. E, 2018
Citation: Mauricio Girardi-Schappo, Marcelo Tragtenberg (2018): Measuring neuronal avalanches in disordered systems with absorbing states. Phys. Rev. E 97: 042415. https://dx.doi.org/10.1103/PhysRevE.97.042415
Published in PLoS ONE, 2017
Citation: M. Girardi-Schappo, G. Bortolotto, R. Stenzinger, J. Gonsalves, M. Tragtenberg (2017): Phase diagrams and dynamics of a computationally efficient map-based neuron model. PLoS ONE 12: e0174621. https://dx.doi.org/10.1371/journal.pone.0174621
Published in J. Phys. Conf. Ser., 2016
Citation: Germano Bortolotto, Mauricio Girardi-Schappo, Jheniffer Gonsalves, Leonel Pinto, Marcelo Tragtenberg (2016): Information processing occurs via critical avalanches in a model of the primary visual cortex. J. Phys. Conf. Ser. 686: 012008. http://stacks.iop.org/1742-6596/686/i=1/a=012008
Published in Sci. Rep., 2016
Citation: Mauricio Girardi-Schappo, Germano Bortolotto, Jheniffer Gonsalves, Leonel Pinto, Marcelo Tragtenberg (2016): Griffiths phase and long-range correlations in a biologically motivated visual cortex model. Sci. Rep. 6: 29561. https://dx.doi.org/10.1038/srep29561
Published in Eur. Phys. J. D, 2013
Citation: M. Girardi-Schappo, W. Tenfen, F. Arretche (2013): A random walk approach to the diffusion of positrons in gaseous media. Eur. Phys. J. D 67: 123. https://dx.doi.org/10.1140/epjd/e2013-20508-2
Published in J. Neurosci. Methods, 2013
Citation: M Girardi-Schappo, MHR Tragtenberg, O Kinouchi (2013): A brief history of excitable map-based neurons and neural networks. J. Neurosci. Methods 220: 116--130. https://dx.doi.org/10.1016/j.jneumeth.2013.07.014
Published in Phys. Rev. E, 2013
Citation: Mauricio Girardi-Schappo, Osame Kinouchi, Marcelo Tragtenberg (2013): Critical avalanches and subsampling in map-based neural networks coupled with noisy synapses. Phys. Rev. E 88: 024701. https://dx.doi.org/10.1103/PhysRevE.88.024701
Published in A Física na Escola, 2010
Citation: Mauricio Girardi-Schappo (2010): Um modelo concreto para o estudo da estabilidade nuclear no ensino médio. A Física na Escola 11: 22--26.
Published in Armadilhas camufladas de ciência: mitos e pseudociências em nossas vidas, Editora Autografia, 2021
Citation: Marcelo Schappo, Mauricio Girardi-Schappo (2021): Um plano para arredondar a Terra. Armadilhas camufladas de ciência: mitos e pseudociências em nossas vidas, Editora Autografia. https://www.professormarcelogs.com/armadilhas-camufladas-de-ciencia
Published in São José, SC, Brasil, Instituto Federal de Santa Catarina, 2020
Citation: V. Jacques, L. Hass, E.C.A. Trindade, J.V. Lima, H. Oliveira, M. Schappo, V. Gouveia, M. Girardi-Schappo (2020): [Física]2. São José, SC, Brasil, Instituto Federal de Santa Catarina. https://wiki.sj.ifsc.edu.br/images/4/40/Ebook_tirinhas_fsc_2020.pdf
Published in 34th Annual Computational Neuroscience Meeting: CNS*2025, 2025
Citation: M. Girardi-Schappo, L. Maler, A. Longtin (2025): Coding and information processing with firing threshold adaptation near criticality in E-I networks. 34th Annual Computational Neuroscience Meeting: CNS*2025 . https://sched.co/24uMD
Published in 33rd Annual Computational Neuroscience Meeting: CNS*2024, 2024
Citation: B. Paulino, M. Tragtenberg, M. Girardi-Schappo (2024): Dynamic range and pattern formation near transition points of networks of either map-based neurons or heart cells. 33rd Annual Computational Neuroscience Meeting: CNS*2024 . https://sched.co/1e7wa
Published in 33rd Annual Computational Neuroscience Meeting: CNS*2024, 2024
Citation: O. Kinouchi, S. Rhâmidda, M. Girardi-Schappo (2024): Homeostatic self-organization towards the edge of neuronal synchronization. 33rd Annual Computational Neuroscience Meeting: CNS*2024 . https://sched.co/1e7v5
Published in 33rd Annual Computational Neuroscience Meeting: CNS*2024, 2024
Citation: S. Rhâmidda, O. Kinouchi, M. Girardi-Schappo (2024): KTH Model: Investigating single neuron functionality. 33rd Annual Computational Neuroscience Meeting: CNS*2024 . https://sched.co/1e7wv
Published in 33rd Annual Computational Neuroscience Meeting: CNS*2024, 2024
Citation: M. Girardi-Schappo, L. Maler, A. Longtin (2024): Optimal coding and information processing due to firing threshold adaptation near criticality. 33rd Annual Computational Neuroscience Meeting: CNS*2024 . https://sched.co/1e7uP
Published in Bernstein Conference, 2023
Citation: M. Girardi-Schappo, L. Maler, A. Longtin (2023): Coding properties of networks with firing threshold adaptation near criticality. Bernstein Conference : 0253. https://dx.doi.org/10.12751/nncn.bc2023.224
Published in J. Comput. Neurosci., 2021
Citation: Mauricio Girardi-Schappo, Anh-Tuan Trinh, Jean-Claude Béïque, André Longtin, Leonard Maler (2021): A minimal integrate-and-fire model for mossy cells. J. Comput. Neurosci. 49(Suppl~1): P111. https://dx.doi.org/10.1007/s10827-021-00801-9
Published in BMC Neurosci., 2019
Citation: M. Girardi-Schappo, P. Morelo, R. Stenzinger, M. Tragtenberg (2019): A map-based model for the membrane potential of healthy and unhealthy neurons and cardiac cells. BMC Neurosci. 20(Suppl~1): P316. https://dx.doi.org/10.1186/s12868-019-0538-0
Published in Bernstein Conference, 2019
Citation: O. Kinouchi, L. Brochini, A. Costa, T. Carvalho, M. Girardi-Schappo (2019): How to self-organize a neuronal network towards the balanced state?. Bernstein Conference : 0133. https://dx.doi.org/10.12751/nncn.bc2019.0133
Published in Bernstein Conference, 2019
Citation: M. Girardi-Schappo, L. Brochini, A. Costa, T. Carvalho, O. Kinouchi (2019): Power-law avalanches and all the synchronicity states emerging in a unified model of excitatory-inhibitory balanced network. Bernstein Conference : 0253. https://dx.doi.org/10.12751/nncn.bc2019.0253
Published in BMC Neurosci., 2014
Citation: Rafael Stenzinger, Jheniffer Gonsalves, Mauricio Girardi-Schappo, Marcelo Tragtenberg (2014): A map-based logistic neuron model: an efficient way to obtain many different neural behaviors. BMC Neurosci. 15(Suppl~1): P24. http://dx.doi.org/10.1186/1471-2202-15-S1-P24
Published in BMC Neurosci., 2014
Citation: Marcelo Tragtenberg, Caio Tiedt, Mauricio Girardi-Schappo (2014): Neural frequency distributions may generate a new phase transition in models for synchronization. BMC Neurosci. 15(Suppl~1): P155. http://dx.doi.org/10.1186/1471-2202-15-S1-P155
Published in BMC Neurosci., 2014
Citation: Germano Bortolotto, Jheniffer Gonsalves, Mauricio Girardi-Schappo, Thiago da~Silva, Manasses Nóbrega, Leonel Pinto, Marcelo Tragtenberg (2014): Optimal activity, avalanches and criticality in a model of the Primary Visual Area. BMC Neurosci. 15(Suppl~1): P23. http://dx.doi.org/10.1186/1471-2202-15-S1-P23
Published in Proceedings of the International Workshop on Positrons in Astrophysics (Astropositron), 2012
Citation: M. Girardi-Schappo, W. Tenfen, F. Arretche (2012): A Simple Monte Carlo Approach to the Diffusion of Positrons in Gaseous Media. Proceedings of the International Workshop on Positrons in Astrophysics (Astropositron). http://userpages.irap.omp.eu/~pvonballmoos/astropositron/presentations_files/Girardi-Schappo.pdf
Published in BMC Neurosci., 2011
Citation: M. Girardi-Schappo, O. Kinouchi, M. Tragtenberg (2011): Signal propagation and neuronal avalanches analysis in networks of formal neurons. BMC Neurosci. 12(Suppl~1): P172. https://dx.doi.org/10.1186/1471-2202-12-S1-P172
Published in Universidade Federal de Santa Catarina, SC, Brasil, 2024
Citation: Constantino Vasconcelos (2024): Leis de estímulo-resposta e intervalo dinâmico de modelos Glauber-Ising adaptativos. Universidade Federal de Santa Catarina, SC, Brasil. https://tede.ufsc.br/teses/PFSC0459-D.pdf
Published in Universidade Federal de Santa Catarina, SC, Brasil, 2016
Citation: Maurício Schappo (2016): Transições de fase em modelos do cérebro: uma abordagem computacional. Universidade Federal de Santa Catarina, SC, Brasil. https://bu.ufsc.br/teses/PFSC0289-T.pdf
Published in Universidade Federal de Santa Catarina, SC, Brasil, 2012
Citation: Maurício Schappo (2012): Sincronização, transições de fase, criticalidade e subamostragem em redes de neurônios formais. Universidade Federal de Santa Catarina, SC, Brasil. http://www.tede.ufsc.br/teses/PFSC0216-D.pdf
