Stefano Nichele

Vitenskapelige publikasjoner

Bhandari, Shailendra ; Nichele, Stefano ; Denysov, Sergiy ; Lind, Pedro (2025). Optimizing Quantum Circuits with Evolutionary Algorithms for Stable Boolean Gates, Elementary Cellular Automata, and Highly Entangled Quantum States. International Journal of Unconventional Computing. Vol. 20.
https://doi.org/10.32908/ijuc.v20.270425

Ramstad, Ola Huse; Sandvig, Axel; Nichele, Stefano ; Sandvig, Ioanna (2025). Influence of neural network bursts on functional connectivity. BioRxiv.
https://doi.org/10.1101/2025.01.21.633559

Valderhaug, Vibeke Devold; Ramstad, Ola Huse; Wijdeven, Rosanne Francisca van de; Heiney, Kristine; Nichele, Stefano ; Sandvig, Axel; Sandvig, Ioanna (2024). Micro-and mesoscale aspects of neurodegeneration in engineered human neural networks carrying the LRRK2 G2019S mutation. Frontiers in Cellular Neuroscience. Vol. 18.
https://doi.org/10.3389/fncel.2024.1366098

Glover, Tom Eivind ; Jahren, Christian Ruben; Francesco, Martinuzzi; Lind, Pedro ; Nichele, Stefano (2024). A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks. International Journal of Parallel, Emergent and Distributed Systems. Vol. 40.
https://doi.org/10.1080/17445760.2024.2396334

Farner, Jørgen Jensen; Ramstad, Ola Huse; Nichele, Stefano ; Heiney, Kristine (2024). Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks. Villani, Marco; Cagnoni, Stefano; Serra, Roberto (Red.). Artificial Life and Evolutionary Computation. WIVACE 2023.. s. 241-255. Springer.
https://doi.org/10.1007/978-3-031-57430-6_19

Jain, Sanyam; Shrestha, Aarati; Nichele, Stefano (2024). Capturing Emerging Complexity in Lenia. Villani, Marco; Cagnoni, Stefano; Serra, Roberto (Red.). Artificial Life and Evolutionary Computation. WIVACE 2023.. s. 41-53. Springer.
https://doi.org/10.1007/978-3-031-57430-6_4

Pietropolli, Gloria; Nichele, Stefano ; Medvet, Eric (2024). The Role of the Substrate in CA-based Evolutionary Algorithms. Li, Xiandong; Handl, Julia (Red.). GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference. s. 768-777. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3638529.3654112

Lindell, Trym ; Ramstad, Ola Huse; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (2024). Chaotic Time Series Prediction in Biological Neural Network Reservoirs on Microelectrode Arrays. Hirose, Akira; Ishibuchi, Hisao (Red.). 2024 International Joint Conference on Neural Networks (IJCNN). s. 1-10. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/IJCNN60899.2024.10650567

Nichele, Stefano ; Sayama, Hiroki; Medvet, Eric; Nehaniv, Chrystopher; Pavone, Mario (2024). Editorial: Special Issue "The Distributed Ghost"-Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence. Artificial Life. Vol. 31.
https://doi.org/10.1162/artl_e_00450

Jain, Sanyam; Nichele, Stefano (2024). Frequency-Histogram Coarse Graining in Elementary and 2-Dimensional Cellular Automata. Nordic Machine Intelligence (NMI). Vol. 3.
https://doi.org/10.5617/nmi.10458

Forskningsrapporter

Filho, Sidney Pontes; Nichele, Stefano ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 9788232669530. Norges teknisk-naturvitenskapelige universitet.

Heiney, Kristine Anne; Nichele, Stefano (2023). Deciphering and emulating neuronal communication: Population-level computation from elemental interactions. ISBN: 9788232671397. Norges teknisk-naturvitenskapelige universitet.

Heiney, Kristine; Nichele, Stefano ; Sandvig, Ioanna; Tufte, Gunnar (2023). Deciphering and emulating neuronal communication: Population-level computation from elemental interactions. 70 s. NTNU.

Variengien, Alexandre; Filho, Sidney Pontes; Glover, Tom Eivind ; Nichele, Stefano (2021). Towards Self-organized Control: Using Neural Cellular Automata to Robustly Control a Cart-pole Agent. 14 s. Innovations in Machine Intelligence, Crosslabs, Vol. 1/2021.
https://doi.org/10.54854/imi2021.01

Domenico, Manlio De; Brockmann, Dirk; Camargo, Chico; Gershenson, Carlos; Goldsmith, Daniel; Jeschonnek, Sabine; Kay, Lorren; Nichele, Stefano ; Nicolas, José; Schmickl, Thomas; Stella, Massimo; Brandoff, Josh; Salinas, Ángel José Martínez; Sayama, Hiroki (2019). Complexity Explained. 20 s. github.
https://complexityexplained.github.io/ComplexityEx

Nichele, Stefano ; Molund, Andreas (2017). Deep Reservoir Computing Using Cellular Automata. 9 s. arXiv preprint, arXiv:1703.02806 [cs.NE].
https://arxiv.org/pdf/1703.02806.pdf

Nichele, Stefano ; Gundersen, Magnus (2017). Reservoir Computing Using Non-Uniform Binary Cellular Automata. 9 s. arXiv preprint, arXiv:1702.03812v1 [cs.ET].
https://arxiv.org/pdf/1702.03812.pdf

Nichele, Stefano ; Tufte, Gunnar (2015). Evolvability, Complexity and Scalability of Cellular Evolutionary and Developmental Systems. ISBN: 9788232607303. Norges teknisk-naturvitenskapelige universitet.

Formidling

Hudcová, Barbora; Mikolov, Tomas; Nichele, Stefano (2025). Studying Encoder–Decoder Relation Between Cellular Automata to Uncover Their Computational Structure. Adamatzky, Andrew; Sirakoulis, Georgios; Martinez, Genaro (Red.). Advances in Cellular Automata Volume 2: Computation and Applications. s. 1-32. Springer.
https://doi.org/10.1007/978-3-031-81097-8_1

Ramstad, Ola Huse; Wijdeven, Rosanne Francisca van de; Heiney, Kristine; Nichele, Stefano ; Sandvig, Axel; Sandvig, Ioanna (2024). MICRO- AND MESOSCALE ASPECTS OF NEURODEGENERATION IN MULTI-NODAL HUMAN NEURAL NETWORKS CARRYING THE LRRK2 G2019S MUTATION. AD/PD24TM: 18th International Conference on Alzheimers & Parkinsons Disease . Kenes Group.

Reimers, Felix Simon; Ramstad, Ola Huse; Sæbø, Solve; Sandvig, Axel; Sandvig, Ioanna; Nichele, Stefano (2024). Examination of Computational Performance of Biological Neural Networks with Reservoir Computing. NORA annual conference 2024. NORA.ai.

Nichele, Stefano (2024). What’s a Machine? From In-Silico to In-Vitro AI. NORA annual conference 2024. NORA.ai.

Lindell, Trym ; Ramstad, Ola Huse; Sandvig, Axel; sandvig, Ionna; Nichele, Stefano (2024). Stability of Input Representations in Biological Neural Network Reservoirs. XVIII International Workshop on Artificial Life and Evolutionary Computation. University of Namur.

Ramstad, Ola Huse; Wijdeven, Rosanne Francisca van de; Heiney, Kristine; Nichele, Stefano ; Sandvig, Axel; Sandvig, Ioanna (2024). MICRO- AND MESOSCALE ASPECTS OF NEURODEGENERATION IN MULT-NODAL HUMAN NEURAL NETWORKS CARRYING THE LRRK2 G2019S MUTATION. AD/PD24TM: 18th International Conference on Alzheimers & Parkinsons Disease. Kenes Group .

Nichele, Stefano (2024). In-vitro models for NeuroAI. Validating models: How would success in NeuroAI look like?. CCSE - Center for Computing in Science Education, UiO.
https://www.mn.uio.no/ccse/english/about/news-and-

Valderhaug, Vibeke Devold; Ramstad, Ola Huse; Wijdeven, Rosanne Francisca van de; Heiney, Kristine; Nichele, Stefano ; Sandvig, Ioanna; Sandvig, Axel (2024). MICRO- AND MESOSCALE ASPECTS OF NEURODEGENERATION IN MULT-NODAL HUMAN NEURAL NETWORKS CARRYING THE LRRK2 G2019S MUTATION. AD/PD24TM: 18th International Conference on Alzheimers & Parkinsons Disease. Kenes Group .

Reimers, Felix Simon; Ramstad, Ola Huse; Sæbø, Solve; Sandvig, Axel; Sandvig, Ioanna; Nichele, Stefano (2024). Performance of C.Elegans Connectomes as Computational Reservoirs. NORA NeuroAI Workshop . NORA.ai NeuroAI SIG.

Farner, Jørgen Jensen; Ramstad, Ola Huse; Nichele, Stefano ; Heiney, Kristine (2023). Beyond weight plasticity: Local learning with propagation delays in spiking neural networks. WIVACE 2023 XVII International Workshop on Artificial Life and Evolutionary Computation.