2 citations · 5 across the 9 of their papers we have counts for
13 papers · 1 filter
Integrate-and-Fire from a Mathematical and Signal Processing Perspective
Bernhard A. Moser, Anna Werzi, Michael Lunglmayr
Integrate-and-Fire (IF) is an idealized model of the spike-triggering mechanism of a biological neuron. It is used to realize the bio-inspired event-based principle of information…
On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire
Bernhard A. Moser, Michael Lunglmayr
In contrast to the traditional principle of periodic sensing neuromorphic engineering pursues a paradigm shift towards bio-inspired event-based sensing, where events are primarily…
SNN Architecture for Differential Time Encoding Using Decoupled Processing Time
Daniel Windhager, Bernhard A. Moser, Michael Lunglmayr
Spiking neural networks (SNNs) have gained attention in recent years due to their ability to handle sparse and event-based data better than regular artificial neural networks (ANNs…
A Fiber Measurement System with Approximate Deconvolution Based on the Analysis of Fault Clusters in Linearized Bregman Iterations
Yuneisy Garcia Guzman, Felipe Calliari, Gustavo C. Amaral +1
Automatic detection of faults in optical fibers is an active area of research that plays a significant role in the design of reliable and stable optical networks. A fiber measureme…
Efficient Majority Voting in Digital Hardware
Stefan Baumgartner, Mario Huemer, Michael Lunglmayr
In recent years, machine learning methods became increasingly important for a manifold number of applications. However, they often suffer from high computational requirements impai…
Fast approximate reciprocal approximations for iterative algorithms
Michael Lunglmayr, Oliver Ploder
The reciprocal function, 1/x, is important for many real-time algorithms. It is used in a large variety of algorithms from areas ranging from iterative estimation to machine learni…