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Antonio M. Batista
Researcher at Ponta Grossa State University
Publications - 196
Citations - 2298
Antonio M. Batista is an academic researcher from Ponta Grossa State University. The author has contributed to research in topics: Computer science & Bursting. The author has an hindex of 23, co-authored 166 publications receiving 1852 citations. Previous affiliations of Antonio M. Batista include Potsdam Institute for Climate Impact Research & Federal University of Paraná.
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Journal ArticleDOI
Delayed feedback control of bursting synchronization in a scale-free neuronal network
TL;DR: This work located domains of bursting synchronization suppression in terms of perturbation strength and time delay, and presents computational evidence that synchronization suppression is easier in scale-free networks than in the more commonly studied global (mean-field) networks.
Journal ArticleDOI
Chaotic phase synchronization in scale-free networks of bursting neurons
C. A. S. Batista,Antonio M. Batista,J. A. C. de Pontes,Ricardo L. Viana,Sergio Roberto Lopes +4 more
TL;DR: This work investigated the phenomenon using a two-dimensional map to describe neurons with spiking-bursting activity in a scale-free network, in particular the dependence of the chaotic phase synchronization on the coupling properties of the network as well as its synchronization with an externally applied time-periodic signal.
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The radiographic platform: A new method to evaluate root canal preparation in vitro
TL;DR: An in vitro method for evaluating root canal preparation in curved canals is presented and this technique makes it possible to obtain the position of the instrument before and after instrumentation in the same X-ray film.
Journal ArticleDOI
Phase synchronization of bursting neurons in clustered small-world networks.
C. A. S. Batista,E. L. Lameu,Antonio M. Batista,Sergio Roberto Lopes,Tiago Pereira,Gorka Zamora-López,Juergen Kurths,Juergen Kurths,Ricardo L. Viana +8 more
TL;DR: It is found that, as the heterogeneity in the network is reduced, the network global synchronizability is improved and the transitions to global synchrony may be abrupt or smooth depending on the intercluster probability.
Journal ArticleDOI
Chimera-like states in a neuronal network model of the cat brain
M. S. Santos,José D. Szezech,Fernando S. Borges,Kelly C. Iarosz,Iberê L. Caldas,Antonio M. Batista,Ricardo L. Viana,Jürgen Kurths +7 more
TL;DR: This work studies the existence of chimera-like states in a network considering the connectivity matrix based on the cat cerebral cortex, and identifies two different kinds of Chimera- like states: spiking chimer-like state with desynchronised spikes, and bursting chimera, like state with Desynchronised bursts.