5 citations · 9 across the 5 of their papers we have counts for
7 papers
Optimization of a Hydrodynamic Computational Reservoir through Evolution
Alessandro Pierro, Kristine Heiney, Shamit Shrivastava +2
As demand for computational resources reaches unprecedented levels, research is expanding into the use of complex material substrates for computing. In this study, we interface wit…
Local learning through propagation delays in spiking neural networks
Jørgen Jensen Farner, Ola Huse Ramstad, Stefano Nichele +1
We propose a novel local learning rule for spiking neural networks in which spike propagation times undergo activity-dependent plasticity. Our plasticity rule aligns pre-synaptic s…
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…
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…
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…
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…