most citedCharacterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms

55 citations · 78 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2017★ 21 cited

Pattern representation and recognition with accelerated analog neuromorphic systems

Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn +33

Despite being originally inspired by the central nervous system, artificial neural networks have diverged from their biological archetypes as they have been remodeled to fit partic…

cs.ET2014

Switched-Capacitor Realization of Presynaptic Short-Term-Plasticity and Stop-Learning Synapses in 28 nm CMOS

Marko Noack, Johannes Partzsch, Christian Mayr +5

Synaptic dynamics, such as long- and short-term plasticity, play an important role in the complexity and biological realism achievable when running neural networks on a neuromorphi…

q-bio.NC2014

OTA based 200 GΩ resistance on 700 μm2 in 180 nm CMOS for neuromorphic applications

Christian Mayr, Michael Schultz, Marko Noack +3

Generating an exponential decay function with a time constant on the order of hundreds of milliseconds is a mainstay for neuromorphic circuits. Usually, either subthreshold circuit…

cs.CV2014★ 2 cited

Gabor-like Image Filtering using a Neural Microcircuit

C. Mayr, A. Heittmann, R. Schüffny

In this letter, we present an implementation of a neural microcircuit for image processing employing Hebbian-adaptive learning. The neuronal circuit utilizes only excitatory synaps…

cs.ET2014

Applying Spiking Neural Nets to Noise Shaping

C. Mayr, R. Schüffny

-In recent years, there has been an increased focus on the mechanics of information transmission in spiking neural networks. Especially the Noise Shaping properties of these networ…

q-bio.NC2014★ 55 cited

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…