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Sidney Pontes-Filho
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Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent
A Variengien, S Nichele, T Glover, S Pontes-Filho
arXiv preprint arXiv:2106.15240, 2021
312021
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
S Pontes-Filho, P Lind, A Yazidi, J Zhang, H Hammer, GBM Mello, ...
Cognitive Neurodynamics 14 (5), 657-674, 2020
222020
Bidirectional learning for robust neural networks
S Pontes-Filho, M Liwicki
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
152019
Collective control of modular soft robots via embodied Spiking Neural Cellular Automata
G Nadizar, E Medvet, S Nichele, S Pontes-Filho
arXiv preprint arXiv:2204.02099, 2022
122022
A conceptual bio-inspired framework for the evolution of artificial general intelligence
S Pontes-Filho, S Nichele
arXiv preprint arXiv:1903.10410, 2019
112019
A Unified Substrate for Body-Brain Co-evolution
S Pontes-Filho, K Walker, E Najarro, S Nichele, S Risi
arXiv preprint arXiv:2203.12066, 2022
8*2022
A deep learning-based tool for automatic brain extraction from functional magnetic resonance images of rodents
S Pontes-Filho, AG Dahl, S Nichele, GBM Mello
Intelligent Systems and Applications: Proceedings of the 2021 Intelligent …, 2022
72022
Towards self-organized control: using neural cellular automata to robustly control a cart-pole agent. Innov Mach Intell (IMI) 1: 1–14
A Variengien, S Pontes-Filho, T Glover, S Nichele
62021
An experimental comparison of evolved neural network models for controlling simulated modular soft robots
G Nadizar, E Medvet, S Nichele, S Pontes-Filho
Applied Soft Computing 145, 110610, 2023
52023
Towards the Neuroevolution of Low-level artificial general intelligence
S Pontes-Filho, K Olsen, A Yazidi, MA Riegler, P Halvorsen, S Nichele
Frontiers in Robotics and AI 9, 1007547, 2022
52022
EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality
S Pontes-Filho, P Lind, A Yazidi, J Zhang, H Hammer, GBM Mello, ...
Applications of Evolutionary Computation: 23rd European Conference …, 2020
5*2020
Assessing the robustness of critical behavior in stochastic cellular automata
S Pontes-Filho, PG Lind, S Nichele
Physica D: Nonlinear Phenomena 441, 133507, 2022
32022
A general representation of dynamical systems for reservoir computing
S Pontes-Filho, A Yazidi, J Zhang, H Hammer, G Mello, I Sandvig, G Tufte, ...
arXiv preprint arXiv:1907.01856, 2019
22019
Bridging the computational gap: From biological to artificial substrates
K Heiney, OH Ramstad, S Pontes-Filho, T Glover, T Lindell, JJ Farner, ...
Second International Workshop on Theoretical and Experimental Material …, 2021
12021
Method to obtain neuromorphic reservoir networks from images of in vitro cortical networks
GBM e Mello, S Pontes-Filho, I Sandvig, VD Valderhaug, E Zouganeli, ...
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2360-2366, 2019
12019
Towards spiking neural systems synthesis
AC Kammara, S Pontes-Filho, A König
Control, Robotics and Sensors, Institution of Engineering & Technology https …, 2018
12018
Optimization of dynamical systems towards criticality and intelligent behavior
S Pontes-Filho
NTNU, 2023
2023
DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
VD Valderhaug, S Pontes-Filho, E Zouganeli, I Sandvig, S Nichele
arXiv preprint arXiv:1907.01062, 2019
2019
DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
GBM e Mello, S Pontes-Filho, I Sandvig, VD Valderhaug, E Zouganeli, ...
CoRR, 2019
2019
The distributed neocortex: How neuroscience can inspire distributed AI systems
MK Kvalsund, KO Ellefsen, K Glette, S Pontes-Filho, ME Lepperød
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Artikler 1–20