3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CC2020
On the computational power and complexity of Spiking Neural Networks
Johan Kwisthout, Nils Donselaar
The last decade has seen the rise of neuromorphic architectures based on artificial spiking neural networks, such as the SpiNNaker, TrueNorth, and Loihi systems. The massive parall…
cs.NE2019★ 3 cited
A spiking neural algorithm for the Network Flow problem
Abdullahi Ali, Johan Kwisthout
It is currently not clear what the potential is of neuromorphic hardware beyond machine learning and neuroscience. In this project, a problem is investigated that is inherently dif…
cs.CC2018
Finding dissimilar explanations in Bayesian networks: Complexity results
Johan Kwisthout
Finding the most probable explanation for observed variables in a Bayesian network is a notoriously intractable problem, particularly if there are hidden variables in the network.…