1 citations · 1 across the 4 of their papers we have counts for
5 papers
Benchmarking the Connectomes of Caenorhabditis elegans within the Reservoir Computing Framework
Felix S. Reimers, Ola Huse Ramstad, Aliaksandr Hubin +1
The aim of this work is to examine the connectomes of Caenorhabditis elegans through a computational lens using the reservoir computing framework. Connectomes are mappings of biolo…
Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing
Trym A. E. Lindell, Ola H. Ramstad, Ionna Sandvig +2
A primary challenge in utilizing in-vitro biological neural networks for computations is finding good encoding and decoding schemes for inputting and decoding data to and from the…
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…
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…