7 citations · 26 across the 12 of their papers we have counts for
12 papers
Mass Conservation as an Inductive Bias for Self-Organized Criticality in NCA Reservoirs
Tong Zhang, Etienne Guichard, Sidney Pontes-Filho +1
Self-organized criticality (SOC), a dynamical regime associated with maximal information processing, offers a promising foundation for reservoir computing. Recent work has shown th…
Reservoir Computing with Evolved Critical Neural Cellular Automata
Sidney Pontes-Filho, Stefano Nichele, Mikkel Lepperød
Criticality is a behavioral state in dynamical systems that is known to present the highest computation capabilities, i.e., information transmission, storage, and modification. The…
Assessing the robustness of critical behavior in stochastic cellular automata
Sidney Pontes-Filho, Pedro Lind, Stefano Nichele
There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, w…
Towards the Neuroevolution of Low-level Artificial General Intelligence
Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi +3
In this work, we argue that the search for Artificial General Intelligence (AGI) should start from a much lower level than human-level intelligence. The circumstances of intelligen…
A Unified Substrate for Body-Brain Co-evolution
Sidney Pontes-Filho, Kathryn Walker, Elias Najarro +2
The discovery of complex multicellular organism development took millions of years of evolution. The genome of such a multicellular organism guides the development of its body from…
Collective control of modular soft robots via embodied Spiking Neural Cellular Automata
Giorgia Nadizar, Eric Medvet, Stefano Nichele +1
Voxel-based Soft Robots (VSRs) are a form of modular soft robots, composed of several deformable cubes, i.e., voxels. Each VSR is thus an ensemble of simple agents, namely the voxe…
Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent
Alexandre Variengien, Stefano Nichele, Tom Glover +1
Neural cellular automata (Neural CA) are a recent framework used to model biological phenomena emerging from multicellular organisms. In these systems, artificial neural networks a…
A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents
Sidney Pontes-Filho, Annelene Gulden Dahl, Stefano Nichele +1
Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studie…
A general representation of dynamical systems for reservoir computing
Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang +5
Dynamical systems are capable of performing computation in a reservoir computing paradigm. This paper presents a general representation of these systems as an artificial neural net…
DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
Gustavo Borges Moreno e Mello, Vibeke Devold Valderhaug, Sidney Pontes-Filho +3
In the brain, the structure of a network of neurons defines how these neurons implement the computations that underlie the mind and the behavior of animals and humans. Provided tha…
A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence
Sidney Pontes-Filho, Stefano Nichele
In this work, a conceptual bio-inspired parallel and distributed learning framework for the emergence of general intelligence is proposed, where agents evolve through environmental…
Bidirectional Learning for Robust Neural Networks
Sidney Pontes-Filho, Marcus Liwicki
A multilayer perceptron can behave as a generative classifier by applying bidirectional learning (BL). It consists of training an undirected neural network to map input to output a…