| 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 |
| 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 |
| Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks VD Valderhaug, K Heiney, OH Ramstad, G Bråthen, WL Kuan, S Nichele, ... American Journal of Physiology-Cell Physiology 320 (6), C1141-C1152, 2021 | 19* | 2021 |
| µSpikeHunter: an advanced computational tool for the analysis of neuronal communication and action potential propagation in microfluidic platforms K Heiney, JC Mateus, CDF Lopes, E Neto, M Lamghari, P Aguiar Scientific Reports 9 (1), 5777, 2019 | 16 | 2019 |
| Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro K Heiney, O Huse Ramstad, V Fiskum, A Sandvig, I Sandvig, S Nichele Frontiers in Neural Circuits 16, 980631, 2022 | 15 | 2022 |
| Micro-and mesoscale aspects of neurodegeneration in engineered human neural networks carrying the LRRK2 G2019S mutation VD Valderhaug, OH Ramstad, R van de Wijdeven, K Heiney, S Nichele, ... Frontiers in Cellular Neuroscience 18, 1366098, 2024 | 14* | 2024 |
| Optimization of a hydrodynamic computational reservoir through evolution A Pierro, K Heiney, S Shrivastava, G Marcucci, S Nichele Proceedings of the Genetic and Evolutionary Computation Conference, 202-210, 2023 | 8 | 2023 |
| Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches. K Heiney, VD Valderhaug, OH Ramstad, I Sandvig, A Sandvig, S Nichele International Journal of Unconventional Computing 16 (4), 2021 | 7* | 2021 |
| Activity dependent delay learning in spiking neural networks J Farner OsloMet-storbyuniversitetet, 2022 | 3 | 2022 |
| On artificial life and emergent computation in physical substrates K Heiney, G Tufte, S Nichele arXiv preprint arXiv:2009.04518, 2020 | 3 | 2020 |
| Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity JJ Farner, H Weydahl, R Jahren, OH Ramstad, S Nichele, K Heiney 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-10, 2021 | 2 | 2021 |
| Bridging the computational gap: From biological to artificial substrates K Heiney, OH Ramstad, S Pontes-Filho, T Glover, T Lindell, JJ Farner, ... Second International Workshop on Theoretical and Experimental Material …, 2021 | 1 | 2021 |
| Information theoretic measures of neural and behavioural coupling predict representational drift K Heiney, M Józsa, ME Rule, H Sprekeler, S Nichele, T O’Leary bioRxiv, 2025.05. 12.653436, 2025 | | 2025 |
| Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks JJ Farner, O Huse Ramstad, S Nichele, K Heiney Italian Workshop on Artificial Life and Evolutionary Computation, 241-255, 2023 | | 2023 |
| Deciphering and emulating neuronal communication: Population-level computation from elemental interactions K Heiney NTNU, 2023 | | 2023 |
| Novel Methodologies to Study the Crosstalk Between Neurons and Bone Using Advanced Microfluidic Platforms Containing Microelectrodes K Heiney PQDT-Global, 2018 | | 2018 |
| Beyond weight plasticity: Local learning with propagation delays in spiking neural networks JJ Farner, OH Ramstad, S Nichele, K Heiney ICML Workshop on Localized Learning (LLW), 0 | | |
Stefano NicheleProfessor, Østfold University CollegeVerified email at hiof.no
