activity
20172022
most citedDeep Reservoir Computing Using Cellular Automata

11 citations · 28 across the 12 of their papers we have counts for

collaborators

15 papers

cs.NE2021

Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity

Jørgen Jensen Farner, Håkon Weydahl, Ruben Jahren +3

Neuro-inspired models and systems have great potential for applications in unconventional computing. Often, the mechanisms of biological neurons are modeled or mimicked in simulate…

cs.NE2021

Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent

Alexandre Variengien, Stefano Nichele, Tom Glover +1

Neural cellular automata (Neural CA) are a recent framework used to model biological phenomena emerging from multicellular organisms. In these systems, artificial neural networks a…

q-bio.NC20201 cited

On Artificial Life and Emergent Computation in Physical Substrates

Kristine Heiney, Gunnar Tufte, Stefano Nichele

In living systems, we often see the emergence of the ingredients necessary for computation -- the capacity for information transmission, storage, and modification -- begging the qu…

eess.IV20191 cited

A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents

Sidney Pontes-Filho, Annelene Gulden Dahl, Stefano Nichele +1

Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studie…

q-bio.NC2019

Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches

Kristine Heiney, Ola Huse Ramstad, Ioanna Sandvig +2

In this work, we report the preliminary analysis of the electrophysiological behavior of in vitro neuronal networks to identify when the networks are in a critical state based on t…

q-bio.NC20193 cited

Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity

Kristine Heiney, Vibeke Devold Valderhaug, Ioanna Sandvig +4

Novel computing hardwares are necessary to keep up with today's increasing demand for data storage and processing power. In this research project, we turn to the brain for inspirat…