3 papers
cs.NE2022
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…
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…
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…