| 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 | 957 | 2020 |
| Deep Learning with Cellular Automaton-Based Reservoir Computing S Nichele, A Molund Complex Systems 26 (4), 319-339, 2017 | 71* | 2017 |
| 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 | 66 | 2021 |
| 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 | 66 | 2017 |
| 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 | 59 | 2017 |
| Reservoir computing with computational matter Z Konkoli, S Nichele, M Dale, S Stepney Computational Matter, 269-293, 2018 | 56 | 2018 |
| Complexity Explained M De Domenico, D Brockmann, C Camargo, C Gershenson, D Goldsmith, ... https://complexityexplained.github.io/, 2019 | 53 | 2019 |
| 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 | 51 | 2021 |
| Reservoir Computing Using Nonuniform Binary Cellular Automata S Nichele, M Gundersen Complex Systems 26 (3), 225-245, 2017 | 47 | 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 | 29 | 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 | 28 | 2020 |
| 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 | 27 | 2021 |
| A single neural cellular automaton for body-brain co-evolution S Pontes-Filho, K Walker, E Najarro, S Nichele, S Risi Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 25* | 2022 |
| Computational matter: Evolving computational functions in nanoscale materials H Broersma, JF Miller, S Nichele Advances in Unconventional Computing: Volume 2: Prototypes, Models and …, 2016 | 25 | 2016 |
| Complexity explained: A grassroot collaborative initiative to create a set of essential concepts of complex systems M De Domenico, C Camargo, C Gershenson, D Goldsmith, S Jeschonnek, ... URL https://complexityexplained. github. io, 2019 | 22* | 2019 |
| 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 | 21 | 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 | 21 | 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 | 18 | 2019 |
| An experimental comparison of evolved neural network models for controlling simulated modular soft robots G Nadizar, E Medvet, S Nichele, S Pontes-Filho Applied Soft Computing 145, 110610, 2023 | 17 | 2023 |
| 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 | 17 | 2022 |
Gunnar TufteProfessor of Computer Science, NTNUVerified email at idi.ntnu.no
