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08/29/2023
Bayesian Integration of Information Using Top-Down Modulated WTA Networks
Winner Take All (WTA) circuits a type of Spiking Neural Networks (SNN) h...
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09/21/2022
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
The massive use of artificial neural networks (ANNs), increasingly popul...
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08/05/2022
Motivating explanations in Bayesian networks using MAP-independence
In decision support systems the motivation and justification of the syst...
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06/14/2022
Parameterized Complexity Results for Bayesian Inference
We present completeness results for inference in Bayesian networks with ...
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01/23/2020
On the computational power and complexity of Spiking Neural Networks
The last decade has seen the rise of neuromorphic architectures based on...
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11/29/2019
A spiking neural algorithm for the Network Flow problem
It is currently not clear what the potential is of neuromorphic hardware...
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10/26/2018
Finding dissimilar explanations in Bayesian networks: Complexity results
Finding the most probable explanation for observed variables in a Bayesi...
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06/13/2012