| Year |
Citation |
Score |
| 2023 |
Piuvezam HC, Marin B, Copelli M, Muñoz MA. Unconventional criticality, scaling breakdown, and diverse universality classes in the Wilson-Cowan model of neural dynamics. Physical Review. E. 108: 034110. PMID 37849106 DOI: 10.1103/PhysRevE.108.034110 |
0.351 |
|
| 2021 |
Dalla Porta L, Castro DM, Copelli M, Carelli PV, Matias FS. Feedforward and feedback influences through distinct frequency bands between two spiking-neuron networks. Physical Review. E. 104: 054404. PMID 34942789 DOI: 10.1103/PhysRevE.104.054404 |
0.801 |
|
| 2021 |
Lotfi N, Feliciano T, Aguiar LAA, Silva TPL, Carvalho TTA, Rosso OA, Copelli M, Matias FS, Carelli PV. Statistical complexity is maximized close to criticality in cortical dynamics. Physical Review. E. 103: 012415. PMID 33601583 DOI: 10.1103/PhysRevE.103.012415 |
0.751 |
|
| 2020 |
Carlos FP, Ubirakitan MM, Rodrigues MCA, Aguilar-Domingo M, Herrera-Gutiérrez E, Gómez-Amor J, Copelli M, Carelli PV, Matias FS. Anticipated synchronization in human EEG data: Unidirectional causality with negative phase lag. Physical Review. E. 102: 032216. PMID 33075996 DOI: 10.1103/PhysRevE.102.032216 |
0.693 |
|
| 2020 |
Lotfi N, Fontenele AJ, Feliciano T, Aguiar LAA, de Vasconcelos NAP, Soares-Cunha C, Coimbra B, Rodrigues AJ, Sousa N, Copelli M, Carelli PV. Signatures of brain criticality unveiled by maximum entropy analysis across cortical states. Physical Review. E. 102: 012408. PMID 32795006 DOI: 10.1103/Physreve.102.012408 |
0.444 |
|
| 2019 |
Lima Dias Pinto I, Copelli M. Oscillations and collective excitability in a model of stochastic neurons under excitatory and inhibitory coupling. Physical Review. E. 100: 062416. PMID 31962449 DOI: 10.1103/Physreve.100.062416 |
0.549 |
|
| 2019 |
Santos FAN, Raposo EP, Coutinho-Filho MD, Copelli M, Stam CJ, Douw L. Topological phase transitions in functional brain networks. Physical Review. E. 100: 032414. PMID 31640025 DOI: 10.1103/Physreve.100.032414 |
0.364 |
|
| 2019 |
Dalla Porta L, Matias FS, Dos Santos AJ, Alonso A, Carelli PV, Copelli M, Mirasso CR. Exploring the Phase-Locking Mechanisms Yielding Delayed and Anticipated Synchronization in Neuronal Circuits. Frontiers in Systems Neuroscience. 13: 41. PMID 31496943 DOI: 10.3389/Fnsys.2019.00041 |
0.814 |
|
| 2019 |
Fontenele AJ, de Vasconcelos NAP, Feliciano T, Aguiar LAA, Soares-Cunha C, Coimbra B, Dalla Porta L, Ribeiro S, Rodrigues AJ, Sousa N, Carelli PV, Copelli M. Criticality between Cortical States. Physical Review Letters. 122: 208101. PMID 31172737 DOI: 10.1103/Physrevlett.122.208101 |
0.799 |
|
| 2019 |
Dalla Porta L, Copelli M. Modeling neuronal avalanches and long-range temporal correlations at the emergence of collective oscillations: Continuously varying exponents mimic M/EEG results. Plos Computational Biology. 15: e1006924. PMID 30951525 DOI: 10.1371/Journal.Pcbi.1006924 |
0.813 |
|
| 2019 |
Kinouchi O, Brochini L, Costa AA, Campos JGF, Copelli M. Stochastic oscillations and dragon king avalanches in self-organized quasi-critical systems. Scientific Reports. 9: 3874. PMID 30846773 DOI: 10.1038/S41598-019-40473-1 |
0.835 |
|
| 2018 |
Dima GC, Copelli M, Mindlin GB. Anticipated Synchronization and Zero-Lag Phases in Population Neural Models International Journal of Bifurcation and Chaos. 28: 1830025. DOI: 10.1142/S0218127418300252 |
0.444 |
|
| 2017 |
Mirasso CR, Carelli PV, Pereira T, Matias FS, Copelli M. Anticipated and zero-lag synchronization in motifs of delay-coupled systems. Chaos (Woodbury, N.Y.). 27: 114305. PMID 29195321 DOI: 10.1063/1.5006932 |
0.788 |
|
| 2017 |
Matias FS, Carelli PV, Mirasso CR, Copelli M. Anticipated synchronization in neuronal circuits unveiled by a phase-response-curve analysis. Physical Review. E. 95: 052410. PMID 28618595 DOI: 10.1103/Physreve.95.052410 |
0.834 |
|
| 2017 |
Campos JGF, Costa AA, Copelli M, Kinouchi O. Correlations induced by depressing synapses in critically self-organized networks with quenched dynamics. Physical Review. E. 95: 042303. PMID 28505838 DOI: 10.1103/Physreve.95.042303 |
0.796 |
|
| 2016 |
Matias FS, Gollo LL, Carelli PV, Mirasso CR, Copelli M. Inhibitory loop robustly induces anticipated synchronization in neuronal microcircuits. Physical Review. E. 94: 042411. PMID 27841618 DOI: 10.1103/Physreve.94.042411 |
0.828 |
|
| 2016 |
Gollo LL, Copelli M, Roberts JA. Diversity improves performance in excitable networks. Peerj. 4: e1912. PMID 27168961 DOI: 10.7717/Peerj.1912 |
0.745 |
|
| 2016 |
Ribeiro TL, Ribeiro S, Copelli M. Repertoires of Spike Avalanches Are Modulated by Behavior and Novelty. Frontiers in Neural Circuits. 10: 16. PMID 27047341 DOI: 10.3389/Fncir.2016.00016 |
0.331 |
|
| 2015 |
Matias FS, Carelli PV, Mirasso CR, Copelli M. Self-Organized Near-Zero-Lag Synchronization Induced by Spike-Timing Dependent Plasticity in Cortical Populations. Plos One. 10: e0140504. PMID 26474165 DOI: 10.1371/Journal.Pone.0140504 |
0.821 |
|
| 2015 |
Gollo LL, Copelli M, Roberts JA. Optimal signal detection with neuronal diversity: balancing the gullible and the prudent neurons Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P208 |
0.767 |
|
| 2015 |
Matias F, Millan AP, Martinez L, Canals S, Carelli P, Copelli M, Mirasso CR. On the basic mechanisms of anticipated synchronization in neuronal circuits Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P167 |
0.83 |
|
| 2015 |
Matias FS, Gollo LL, Carelli PV, Copelli M, Mirasso CR. Reconstructing the directionality of coupling between cortical populations with negative phase lag Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P166 |
0.814 |
|
| 2015 |
Costa ADA, Copelli M, Kinouchi O. Can dynamical synapses produce true self-organized criticality? Journal of Statistical Mechanics: Theory and Experiment. 2015. DOI: 10.1088/1742-5468/2015/06/P06004 |
0.801 |
|
| 2014 |
Matias FS, Gollo LL, Carelli PV, Bressler SL, Copelli M, Mirasso CR. Modeling positive Granger causality and negative phase lag between cortical areas. Neuroimage. 99: 411-8. PMID 24893321 DOI: 10.1016/J.Neuroimage.2014.05.063 |
0.814 |
|
| 2014 |
Ribeiro TL, Ribeiro S, Belchior H, Caixeta F, Copelli M. Undersampled critical branching processes on small-world and random networks fail to reproduce the statistics of spike avalanches. Plos One. 9: e94992. PMID 24751599 DOI: 10.1371/Journal.Pone.0094992 |
0.516 |
|
| 2014 |
Matias FS, Carelli PV, Mirasso CR, Copelli M. Inhibitory Feedback Loop Induces Anticipated Synchronization in Neuronal Networks Ieice Proceeding Series. 1: 636-639. DOI: 10.15248/proc.1.636 |
0.804 |
|
| 2014 |
Copelli M. Criticality at Work: How Do Critical Networks Respond to Stimuli? Criticality in Neural Systems. 347-364. DOI: 10.1002/9783527651009.ch16 |
0.373 |
|
| 2013 |
Medeiros BN, Copelli M. Synaptic symmetry increases coherence in a pair of excitable electronic neurons. Plos One. 8: e82051. PMID 24312626 DOI: 10.1371/Journal.Pone.0082051 |
0.455 |
|
| 2013 |
Gollo LL, Kinouchi O, Copelli M. Single-neuron criticality optimizes analog dendritic computation. Scientific Reports. 3: 3222. PMID 24226045 DOI: 10.1038/Srep03222 |
0.815 |
|
| 2013 |
Matias FS, Carelli PV, Mirasso CR, Copelli M. The interplay between STDP rules and anticipated synchronization in the organization of neuronal networks Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P71 |
0.835 |
|
| 2013 |
Matias FS, Gollo LL, Carelli PV, Copelli M, Mirasso CR. Anticipated synchronization in neuronal motifs Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P275 |
0.835 |
|
| 2013 |
Matias FS, Gollo LL, Carelli PV, Copelli M, Mirasso CR. Anticipated synchronization in neuronal network motifs Aip Conference Proceedings. 1510: 210-212. DOI: 10.1063/1.4776534 |
0.834 |
|
| 2012 |
Mota NB, Vasconcelos NA, Lemos N, Pieretti AC, Kinouchi O, Cecchi GA, Copelli M, Ribeiro S. Speech graphs provide a quantitative measure of thought disorder in psychosis. Plos One. 7: e34928. PMID 22506057 DOI: 10.1371/Journal.Pone.0034928 |
0.727 |
|
| 2012 |
Gollo LL, Kinouchi O, Copelli M. Statistical physics approach to dendritic computation: the excitable-wave mean-field approximation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 011911. PMID 22400595 DOI: 10.1103/Physreve.85.011911 |
0.797 |
|
| 2012 |
Medeiros BNS, Minces V, Mindlin GB, Copelli M, Leite JRR. An excitable electronic circuit as a sensory neuron model International Journal of Bifurcation and Chaos. 22. DOI: 10.1142/S0218127412502446 |
0.473 |
|
| 2012 |
Silva BBM, Miranda JGV, Corso G, Copelli M, Vasconcelos N, Ribeiro S, Andrade RFS. Statistical characterization of an ensemble of functional neural networks European Physical Journal B. 85. DOI: 10.1140/Epjb/E2012-30481-7 |
0.442 |
|
| 2012 |
Assis VRV, Copelli M. Collective behavior of coupled nonuniform stochastic oscillators Physica a: Statistical Mechanics and Its Applications. 391: 1900-1906. DOI: 10.1016/J.Physa.2011.10.012 |
0.404 |
|
| 2011 |
Matias FS, Carelli PV, Mirasso CR, Copelli M. Anticipated synchronization in a biologically plausible model of neuronal motifs. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 021922. PMID 21929034 DOI: 10.1103/Physreve.84.021922 |
0.832 |
|
| 2011 |
Assis VRV, Copelli M, Dickman R. An infinite-period phase transition versus nucleation in a stochastic model of collective oscillations Journal of Statistical Mechanics: Theory and Experiment. 2011. DOI: 10.1088/1742-5468/2011/09/P09023 |
0.395 |
|
| 2011 |
Rozenblit F, Copelli M. Collective oscillations of excitable elements: Order parameters, bistability and the role of stochasticity Journal of Statistical Mechanics: Theory and Experiment. 2011. DOI: 10.1088/1742-5468/2011/01/P01012 |
0.411 |
|
| 2010 |
Ribeiro TL, Copelli M, Caixeta F, Belchior H, Chialvo DR, Nicolelis MA, Ribeiro S. Spike avalanches exhibit universal dynamics across the sleep-wake cycle. Plos One. 5: e14129. PMID 21152422 DOI: 10.1371/Journal.Pone.0014129 |
0.4 |
|
| 2009 |
Assis VR, Copelli M. Discontinuous nonequilibrium phase transitions in a nonlinearly pulse-coupled excitable lattice model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 80: 061105. PMID 20365116 DOI: 10.1103/Physreve.80.061105 |
0.395 |
|
| 2009 |
Gollo LL, Kinouchi O, Copelli M. Active dendrites enhance neuronal dynamic range. Plos Computational Biology. 5: e1000402. PMID 19521531 DOI: 10.1371/Journal.Pcbi.1000402 |
0.812 |
|
| 2008 |
Ribeiro TL, Copelli M. Deterministic excitable media under Poisson drive: power law responses, spiral waves, and dynamic range. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 77: 051911. PMID 18643106 DOI: 10.1103/Physreve.77.051911 |
0.343 |
|
| 2008 |
Assis VR, Copelli M. Dynamic range of hypercubic stochastic excitable media. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 77: 011923. PMID 18351892 DOI: 10.1103/Physreve.77.011923 |
0.349 |
|
| 2007 |
Roa MA, Copelli M, Kinouchi O, Caticha N. Scaling law for the transient behavior of type-II neuron models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 75: 021911. PMID 17358371 DOI: 10.1103/Physreve.75.021911 |
0.794 |
|
| 2007 |
Copelli M, Kinouchi O. Physics of psychophysics: optimal dynamic range of critical excitable networks Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P174 |
0.801 |
|
| 2007 |
Copelli M, Campos PRA. Excitable scale free networks European Physical Journal B. 56: 273-278. DOI: 10.1140/Epjb/E2007-00114-7 |
0.469 |
|
| 2007 |
Copelli M. Physics of psychophysics: It is critical to sense Aip Conference Proceedings. 887: 13-20. DOI: 10.1063/1.2709581 |
0.31 |
|
| 2006 |
Furtado LS, Copelli M. Response of electrically coupled spiking neurons: a cellular automaton approach. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 011907. PMID 16486185 DOI: 10.1103/Physreve.73.011907 |
0.465 |
|
| 2006 |
Kinouchi O, Copelli M. Optimal dynamical range of excitable networks at criticality Nature Physics. 2: 348-352. DOI: 10.1038/Nphys289 |
0.802 |
|
| 2005 |
Copelli M, Kinouchi O. Intensity coding in two-dimensional excitable neural networks Physica a: Statistical Mechanics and Its Applications. 349: 431-442. DOI: 10.1016/J.Physa.2004.10.043 |
0.814 |
|
| 2005 |
Copelli M, Oliveira RF, Roque AC, Kinouchi O. Signal compression in the sensory periphery Neurocomputing. 65: 691-696. DOI: 10.1016/J.Neucom.2004.10.099 |
0.802 |
|
| 2004 |
Copelli M, Tragtenberg MHR, Kinouchi O. Stability diagrams for bursting neurons modeled by three-variable maps Physica a: Statistical Mechanics and Its Applications. 342: 263-269. DOI: 10.1016/J.Physa.2004.04.087 |
0.783 |
|
| 2003 |
Dos Santos RMZ, Copelli M. Long Term and Short Term Effects of Perturbations in an Immune Network Model Brazilian Journal of Physics. 33: 628-633. DOI: 10.1590/S0103-97332003000300028 |
0.348 |
|
| 2003 |
Copelli M, Dos Santos RMZ, Stariolo DA. On the aging dynamics in an immune network model European Physical Journal B. 34: 119-129. DOI: 10.1140/Epjb/E2003-00203-7 |
0.382 |
|
| 2002 |
Copelli M, Roque AC, Oliveira RF, Kinouchi O. Physics of psychophysics: Stevens and Weber-Fechner laws are transfer functions of excitable media. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 65: 060901. PMID 12188696 DOI: 10.1103/Physreve.65.060901 |
0.781 |
|
| 2002 |
Bena I, Van den Broeck C, Kawai R, Copelli M, Lindenberg K. Collective behavior of parametric oscillators. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 65: 036611. PMID 11909289 DOI: 10.1103/Physreve.65.036611 |
0.371 |
|
| 2002 |
Copelli M, Zorzenon Dos Santos RM, Sá Martins JS. Emergence of hierarchy on a network of complementary agents International Journal of Modern Physics C. 13: 783-797. DOI: 10.1142/S0129183102003528 |
0.381 |
|
| 2001 |
Copelli M, Lindenberg K. Phase-induced stability in a parametric dimer. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 63: 036605. PMID 11308786 DOI: 10.1103/Physreve.63.036605 |
0.396 |
|
| 1997 |
Copelli M, Eichhorn R, Kinouchi O, Biehl M, Simonetti R, Riegler P, Caticha N. Noise robustness in multilayer neural networks Europhysics Letters. 37: 427-432. DOI: 10.1209/Epl/I1997-00167-2 |
0.767 |
|
| 1996 |
Copelli M, Kinouchi O, Caticha N. Equivalence between learning in noisy perceptrons and tree committee machines. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 53: 6341-6352. PMID 9964993 DOI: 10.1103/Physreve.53.6341 |
0.736 |
|
| 1995 |
Copelli M, Caticha N. On-line learning in the committee machine Journal of Physics a: Mathematical and General. 28: 1615-1625. DOI: 10.1088/0305-4470/28/6/016 |
0.645 |
|
| Show low-probability matches. |