296 citations · 1.7k across the 65 of their papers we have counts for
3 papers · 1 filter
The effect of heterogeneity on decorrelation mechanisms in spiking neural networks: a neuromorphic-hardware study
Thomas Pfeil, Jakob Jordan, Tom Tetzlaff +4
High-level brain function such as memory, classification or reasoning can be realized by means of recurrent networks of simplified model neurons. Analog neuromorphic hardware const…
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons
Dimitri Probst, Mihai A. Petrovici, Ilja Bytschok +4
The means by which cortical neural networks are able to efficiently solve inference problems remains an open question in computational neuroscience. Recently, abstract models of Ba…
Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Mihai A. Petrovici, Bernhard Vogginger, Paul Müller +9
Advancing the size and complexity of neural network models leads to an ever increasing demand for computational resources for their simulation. Neuromorphic devices offer a number…