@article {43000,
	title = {NeuroAI - A strategic opportunity for Norway and Europe},
	journal = {Nordic Machine Intelligence},
	volume = {2},
	year = {2022},
	month = {Mar-06-2022},
	publisher = {Nordic Machine Intelligence },
	doi = {10.5617/nmi.9950},
	url = {https://journals.uio.no/NMI/article/view/9950https://journals.uio.no/NMI/article/download/9950/8366https://journals.uio.no/NMI/article/download/9950/8366},
	author = {Nichele, Stefano and S{\ae}b{\o}, Solve and Pettersen, Klas and Lepper{\o}d, Mikkel}
}
@article {42795,
	title = {Towards the Neuroevolution of Low-level artificial general intelligence},
	journal = {Frontiers in Robotics and AI},
	volume = {9},
	year = {2022},
	month = {10/2022},
	publisher = {Frontiers},
	abstract = {In this work, we argue that the search for Artificial General Intelligence should start from a much lower level than human-level intelligence. The circumstances of intelligent behavior in nature resulted from an organism interacting with its surrounding environment, which could change over time and exert pressure on the organism to allow for learning of new behaviors or environment models. Our hypothesis is that learning occurs through interpreting sensory feedback when an agent acts in an environment. For that to happen, a body and a reactive environment are needed. We evaluate a method to evolve a biologically- inspired artificial neural network that learns from environment reactions named Neuroevolution of Artificial General Intelligence, a framework for low-level artificial general intelligence. This method allows the evolutionary complexification of a randomly-initialized spiking neural network with adaptive synapses, which controls agents instantiated in mutable environments. Such a configuration allows us to benchmark the adaptivity and generality of the controllers. The chosen tasks in the mutable environments are food foraging, emulation of logic gates, and cart-pole balancing. The three tasks are successfully solved with rather small network topologies and therefore it opens up the possibility of experimenting with more complex tasks and scenarios where curriculum learning is beneficial.},
	doi = {10.3389/frobt.2022.1007547},
	url = {https://www.frontiersin.org/articles/10.3389/frobt.2022.1007547/full},
	author = {Pontes-Filho, Sidney and Olsen, Kristoffer and Yazidi, Anis and Riegler, Michael and Halvorsen, P{\r a}l and Nichele, Stefano}
}
@article {heiney2021criticality,
	title = {Criticality, connectivity, and neural disorder: a multifaceted approach to neural computation},
	journal = {Frontiers in Computational Neuroscience},
	volume = {15},
	year = {2021},
	pages = {7},
	publisher = {Frontiers},
	author = {Heiney, Kristine and Ola Huse {Ramstad} and Fiskum, Vegard and Christiansen, Nicholas and Sandvig, Axel and Nichele, Stefano and Sandvig, Ioanna}
}
@article {talamini2021criticality,
	title = {Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots},
	journal = {Frontiers in Robotics and AI},
	volume = {8},
	year = {2021},
	pages = {172},
	publisher = {Frontiers},
	author = {Talamini, Jacopo and Medvet, Eric and Nichele, Stefano}
}
@inproceedings {pontes2021deep,
	title = {A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents},
	journal = {Proceedings of SAI Intelligent Systems Conference},
	year = {2021},
	pages = {549{\textendash}558},
	publisher = {Springer},
	author = {Pontes-Filho, Sidney and Annelene Gulden {Dahl} and Nichele, Stefano}
}
@inproceedings {glover2021dynamical,
	title = {The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata},
	journal = {The 2021 Conference on Artificial Life (ALIFE 2021)},
	year = {2021},
	publisher = {MIT Press},
	author = {Tom Eivind {Glover} and Lind, Pedro and Yazidi, Anis and Osipov, Evgeny and Nichele, Stefano}
}
@inproceedings {nadizar2021effects,
	title = {On the effects of pruning on evolved neural controllers for soft robots},
	journal = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
	year = {2021},
	pages = {1744{\textendash}1752},
	publisher = {ACM},
	author = {Nadizar, Giorgia and Medvet, Eric and Felice Andrea {Pellegrino} and Zullich, Marco and Nichele, Stefano}
}
@article {heiney2021hallmarks,
	title = {Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches.},
	journal = {International Journal of Unconventional Computing},
	volume = {16},
	number = {4},
	publisher = {Old City Publishing},
	author = {Heiney, Kristine and Vibeke Devold {Valderhaug} and Ola Huse {Ramstad} and Sandvig, Ioanna and Sandvig, Axel and Nichele, Stefano}
}
