Norwegian version
Sidney Pontes-Filho

Sidney Pontes-Filho

About

Sidney Pontes-Filho is a Ph.D. candidate in Computer Science at Norwegian University of Science and Technology (NTNU) and works as a Ph.D. fellow at Oslo Metropolitan University (OsloMet). He received his B.Sc. in Computer Science in 2013 from Federal University of Paraíba, Brazil, and M.Sc in Computer Science in 2018 from Technical University of Kaiserslautern, Germany. His current research interests are complex systems, unconventional computing, computational neuroscience, and artificial general intelligence.

Scientific publications

Kvalsund, Mia-Katrin Ose; Ellefsen, Kai Olav; Glette, Kyrre; Pontes-Filho, Sidney ; Lepperød, Mikkel Elle (2026). Sensor movement drives emergent attention and scalability in active neural cellular automata. Neural Networks. Vol. 200.
https://doi.org/10.1016/j.neunet.2026.108798

Pontes-Filho, Sidney ; Nichele, Stefano; Lepperød, Mikkel Elle (2025). Reservoir Computing with Evolved Critical Neural Cellular Automata. Witkowski, Olaf; Adams, Alyssa M.; Sinapayen, Lana; Baltieri, Manuel; Khosravy, Mahdi (Ed.). ALIFE 2025: Ciphers of Life: Proceedings of the Artificial Life Conference 2025. MIT Press.
https://doi.org/10.1162/isal.a.832

Nadizar, Giorgia; Medvet, Eric; Nichele, Stefano; Filho, Sidney Pontes (2023). An experimental comparison of evolved neural network models for controlling simulated modular soft robots. Applied Soft Computing. Vol. 145.
https://doi.org/10.1016/j.asoc.2023.110610

Filho, Sidney Pontes ; Olsen, Kristoffer; Yazidi, Anis ; Riegler, Michael ; Halvorsen, Pål ; Nichele, Stefano (2022). Towards the Neuroevolution of Low-level artificial general intelligence. Frontiers in Robotics and AI. Vol. 9.
https://doi.org/10.3389/frobt.2022.1007547

Filho, Sidney Pontes ; Lind, Pedro ; Nichele, Stefano (2022). Assessing the robustness of critical behavior in stochastic cellular automata. Physica D : Non-linear phenomena. Vol. 441.
https://doi.org/10.1016/j.physd.2022.133507

Filho, Sidney Pontes ; Walker, Kathryn; Najarro, Elias; Nichele, Stefano; Risi, Sebastian (2022). A single neural cellular automaton for body-brain co-evolution. Fieldsend, Jonathan E (Ed.). GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 148-151. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3520304.3529002

Filho, Sidney Pontes ; Dahl, Annelene; Nichele, Stefano; Mello, Gustavo (2021). A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents. Arai, Kohei (Ed.). Intelligent Systems and Applications, Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021) Volume 1. p. 549-558. Springer Nature.
https://doi.org/10.1007/978-3-030-82199-9_36

Pontes-Filho, Sidney ; Lind, Pedro ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Mello, Gustavo ; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; Vega, Francisco Fernández de (Ed.). Applications of Evolutionary Computation. p. 133-148. Springer.
https://doi.org/10.1007/978-3-030-43722-0_9

Pontes-Filho, Sidney ; Lind, Pedro ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Mello, Gustavo ; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics.
https://doi.org/10.1007/s11571-020-09600-x

Mello, Gustavo ; Pontes-Filho, Sidney ; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi ; Ramstad, Ola Huse; Sandvig, Axel; Nichele, Stefano (2020). Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). p. 2360-2366. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/SSCI44817.2019.9002741





These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Research reports

Filho, Sidney Pontes ; Nichele, Stefano; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 9788232669530. Norges teknisk-naturvitenskapelige universitet.
https://hdl.handle.net/11250/3054723

Variengien, Alexandre; Filho, Sidney Pontes ; Glover, Tom Eivind ; Nichele, Stefano (2021). Towards Self-organized Control: Using Neural Cellular Automata to Robustly Control a Cart-pole Agent. 14 p. Innovations in Machine Intelligence, Crosslabs, Vol. 1/2021.
https://doi.org/10.54854/imi2021.01



These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Dissemination

Kvalsund, Mia-Katrin; Ellefsen, Kai; Glette, Kyrre; Pontes-Filho, Sidney ; Lepperød, Mikkel (2023). The distributed neocortex: How neuroscience can inspire distributed AI systems. Workshop "The Distributed Ghost Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence" at ALIFE 2023.
https://hdl.handle.net/11250/5522397

Pontes-Filho, Sidney ; Nichele, Stefano; Lepperød, Mikkel (2023). Critical Neural Cellular Automata. Workshop "The Distributed Ghost Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence" at ALIFE 2023.
https://hdl.handle.net/11250/5522396

Filho, Sidney Pontes ; Walker, Kathryn; Najarro, Elias; Nichele, Stefano; Risi, Sebastian (2022). A Unified Substrate for Body-Brain Co-evolution. 2nd International Conference on Embodied Intelligence. Fumiya Iida.
https://hdl.handle.net/11250/3893178

Filho, Sidney Pontes ; Dahl, Annelene Gulden; Nichele, Stefano; Mello, Gustavo (2021). A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents. Intelligent Systems Conference 2021 (IntelliSys 2021). The Science and Information (SAI) Organization.
https://hdl.handle.net/11250/3636521

Filho, Sidney Pontes ; Nichele, Stefano (2021). A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence. International Conference on High Performance Computing & Simulation.
https://hdl.handle.net/11250/3663490

Heiney, Kristine; Ramstad, Ola Huse; Pontes-Filho, Sidney ; Glover, Tom ; Lindell, Trym ; Farner, Jørgen Jensen; Weydahl, Håkon; Nichele, Stefano (2021). Bridging the computational gap: From biological to artificial substrates. Second International Workshop on Theoretical and Experimental Material Computing (TEMC 2020), ALIFE 2021.
https://hdl.handle.net/11250/5148739

Pontes-Filho, Sidney ; Lind, Pedro ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Mello, Gustavo ; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. 23rd European Conference on the Applications of Evolutionary and bio-inspired Computation. Pedro Castillo.
https://hdl.handle.net/11250/3924217

Pontes-Filho, Sidney ; Olsen, Kristoffer; Yazidi, Anis; Halvorsen, Pål; Riegler, Michael ; Nichele, Stefano (2020). Towards the evolution of spiking neural networks for self-supervision with neuroplasticity. From Neuroscience to Artificially Intelligent Systems. Raia Hadsell, Blake Richards and Anthony Zador.
https://hdl.handle.net/11250/4892751

Pontes-Filho, Sidney ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Mello, Gustavo ; Sandvig, I.; Tufte, Gunnar; Nichele, Stefano (2019). A general representation of dynamical systems for reservoir computing. Workshop on Novel Substrates and Models for the Emergence of Developmental, Learning and Cognitive Capabilities, 9th Joint IEEE Int Conf. on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2019). UiO.
https://hdl.handle.net/11250/4060193

Mello, Gustavo Borges Moreno E; Valderhaug, Vibeke Devold; Pontes-Filho, Sidney ; Zouganeli, Evi ; Ramstad, Ola Huse; Sandvig, Axel; Sandvig, Ioanna; Nichele, Stefano (2019). Method to obtain neuromorphic reservoir networks from images of in vitro cortical networks. 2019 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Neuromorphic Cognitive Computing (IEEE SNCC).
https://hdl.handle.net/11250/3774467





These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.