Stefano Nichele
Zitiert von
Zitiert von
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
J Zhang, Z Yin, P Chen, S Nichele
Information Fusion 59, 103-126, 2020
Deep Learning with Cellular Automaton-Based Reservoir Computing
S Nichele, A Molund
Complex Systems 26 (4), 319-339, 2017
Reservoir computing with computational matter
Z Konkoli, S Nichele, M Dale, S Stepney
Computational Matter, 269-293, 2018
Towards Making a Cyborg: A Closed-Loop Reservoir-Neuro System
P Aaser, M Knudsen, OH Ramstad, R van de Wijdeven, S Nichele, ...
European Conference on Artificial Life, 2017
CA-NEAT: evolved compositional pattern producing networks for cellular automata morphogenesis and replication
S Nichele, MB Ose, S Risi, G Tufte
IEEE Transactions on Cognitive and Developmental Systems 10 (3), 687-700, 2017
Reservoir Computing Using Nonuniform Binary Cellular Automata
S Nichele, M Gundersen
Complex Systems 26 (3), 225-245, 2017
Complexity Explained
M De Domenico, D Brockmann, C Camargo, C Gershenson, D Goldsmith, ..., 2019
Criticality, connectivity, and neural disorder: a multifaceted approach to neural computation
K Heiney, O Huse Ramstad, V Fiskum, N Christiansen, A Sandvig, ...
Frontiers in computational neuroscience 15, 611183, 2021
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
Computational matter: Evolving computational functions in nanoscale materials
H Broersma, JF Miller, S Nichele
Advances in Unconventional Computing: Volume 2: Prototypes, Models and …, 2017
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
G Nadizar, E Medvet, HH Ramstad, S Nichele, FA Pellegrino, M Zullich
The Knowledge Engineering Review 37, e3, 2022
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
On the effects of pruning on evolved neural controllers for soft robots
G Nadizar, E Medvet, FA Pellegrino, M Zullich, S Nichele
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
Criticality-driven evolution of adaptable morphologies of voxel-based soft-robots
J Talamini, E Medvet, S Nichele
Frontiers in Robotics and AI 8, 673156, 2021
Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches
K Heiney, OH Ramstad, I Sandvig, A Sandvig, S Nichele
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 247-254, 2019
Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*
J Zhang, P Chen, S Nichele, A Yazidi
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 404-409, 2019
Evolutionary growth of genomes for the development and replication of multicellular organisms with indirect encoding
S Nichele, G Tufte
2014 IEEE International Conference on Evolvable Systems, 141-148, 2014
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
Universality of Evolved Cellular Automata in-Materio
S Nichele, S Farstad, G Tufte
International Journal of Unconventional Computing 13 (1), 1-34, 2017
A new kind of science: A 15-year view
S Wolfram
Complex Syst 1, 1-1197, 2017
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