activity
20122021
most citedSix networks on a universal neuromorphic computing substrate

189 citations · 190 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP20211 cited

Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks

Nik Dennler, Shavika Rastogi, Jordi Fonollosa +2

Metal oxide (MOx) electro-chemical gas sensors are a sensible choice for many applications, due to their tunable sensitivity, their space-efficiency and their low price. Publicly a…

eess.SP2020

Resolving fast gas transients with Metal-Oxide sensors

Damien Drix, Michael Schmuker

Electronic olfaction can help detect and localise harmful gases and pollutants, but the turbulence of natural environment presents a particular challenge: odor encounters are inter…

cs.ET2019

Low-Power Neuromorphic Hardware for Signal Processing Applications

Bipin Rajendran, Abu Sebastian, Michael Schmuker +2

Machine learning has emerged as the dominant tool for implementing complex cognitive tasks that require supervised, unsupervised, and reinforcement learning. While the resulting ma…

q-bio.NC2018

Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

Michael Schmuker, Rüdiger Kupper, Ad Aertsen +2

In studies of the visual system as well as in computer vision, the focus is often on contrast edges. However, the primate visual system contains a large number of cells that are in…

q-bio.NC2012189 cited

Six networks on a universal neuromorphic computing substrate

Thomas Pfeil, Andreas Grübl, Sebastian Jeltsch +7

In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. At the heart of this system lies a mixed…