Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches. - Kristine Heiney; Ola Huse Ramstad; Ioanna Sandvig; Axel Sandvig; Stefano Nichele (SSCI, 2019)

Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity. - Kristine Heiney; Vibeke Devold Valderhaug; Ioanna Sandvig; Axel Sandvig; Gunnar Tufte; Hugo Lewi Hammer; Stefano Nichele (CoRR, 2019)

On Artificial Life and Emergent Computation in Physical Substrates. - Kristine Heiney; Gunnar Tufte; Stefano Nichele (CoRR, 2020)

Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity. - Jørgen Jensen Farner; Håkon Weydahl; Ruben Jahren; Stefano Nichele; Ola Huse Ramstad; Kristine Heiney (SSCI, 2021)

Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation. - Kristine Heiney; Ola Huse Ramstad; Vegard Fiskum; Nicholas Christiansen; Axel Sandvig; Stefano Nichele; Ioanna Sandvig (Frontiers Comput. Neurosci., 2021)

Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches. - Kristine Heiney; Vibeke Devold Valderhaug; Ola Huse Ramstad; Ioanna Sandvig; Axel Sandvig; Stefano Nichele (Int. J. Unconv. Comput., 2021)

Local learning through propagation delays in spiking neural networks. - Jørgen Jensen Farner; Ola Huse Ramstad; Stefano Nichele; Kristine Heiney (CoRR, 2022)

Optimization of a Hydrodynamic Computational Reservoir through Evolution. - Alessandro Pierro; Kristine Heiney; Shamit Shrivastava; Giulia Marcucci; Stefano Nichele (GECCO, 2023)

Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks. - Jørgen Jensen Farner; Ola Huse Ramstad; Stefano Nichele; Kristine Heiney (WIVACE, 2023)