Sidney Pontes-Filho

Orcid: 0000-0002-0489-5652

According to our database1, Sidney Pontes-Filho authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
An experimental comparison of evolved neural network models for controlling simulated modular soft robots.
Appl. Soft Comput., September, 2023

Optimization of dynamical systems towards criticality and intelligent behavior.
PhD thesis, 2023

2022
Towards the Neuroevolution of Low-level artificial general intelligence.
Frontiers Robotics AI, 2022

Assessing the robustness of critical behavior in stochastic cellular automata.
CoRR, 2022

Collective control of modular soft robots via embodied Spiking Neural Cellular Automata.
CoRR, 2022

A Unified Substrate for Body-Brain Co-evolution.
CoRR, 2022

A single neural cellular automaton for body-brain co-evolution.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent.
CoRR, 2021

A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents.
Proceedings of the Intelligent Systems and Applications, 2021

2020
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
A general representation of dynamical systems for reservoir computing.
CoRR, 2019

DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks.
CoRR, 2019

Towards a framework for the evolution of artificial general intelligence.
CoRR, 2019

Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Bidirectional Learning for Robust Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019


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