11 citations · 52 across the 22 of their papers we have counts for
10 papers · 1 filter
Optimization of a Hydrodynamic Computational Reservoir through Evolution
Alessandro Pierro, Kristine Heiney, Shamit Shrivastava +2
As demand for computational resources reaches unprecedented levels, research is expanding into the use of complex material substrates for computing. In this study, we interface wit…
Local learning through propagation delays in spiking neural networks
Jørgen Jensen Farner, Ola Huse Ramstad, Stefano Nichele +1
We propose a novel local learning rule for spiking neural networks in which spike propagation times undergo activity-dependent plasticity. Our plasticity rule aligns pre-synaptic s…
Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity
Jørgen Jensen Farner, Håkon Weydahl, Ruben Jahren +3
Neuro-inspired models and systems have great potential for applications in unconventional computing. Often, the mechanisms of biological neurons are modeled or mimicked in simulate…
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 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…
Evolved Art with Transparent, Overlapping, and Geometric Shapes
Joachim Berg, Nils Gustav Andreas Berggren, Sivert Allergodt Borgeteien +3
In this work, an evolutionary art project is presented where images are approximated by transparent, overlapping and geometric shapes of different types, e.g., polygons, circles, l…
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…
Autonomous Configuration of Network Parameters in Operating Systems using Evolutionary Algorithms
Bartosz Gembala, Anis Yazidi, Hårek Haugerud +1
By default, the Linux network stack is not configured for highspeed large file transfer. The reason behind this is to save memory resources. It is possible to tune the Linux networ…
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution
Erik Aaron Hansen, Stefano Nichele, Anis Yazidi +3
Abruptions to the communication infrastructure happens occasionally, where manual dedicated personnel will go out to fix the interruptions, restoring communication abilities. Howev…
Deep Reservoir Computing Using Cellular Automata
Stefano Nichele, Andreas Molund
Recurrent Neural Networks (RNNs) have been a prominent concept within artificial intelligence. They are inspired by Biological Neural Networks (BNNs) and provide an intuitive and a…