464 citations · 503 across the 9 of their papers we have counts for
8 papers · 1 filter
A Neuromorphic Electronic Nose Design
Shavika Rastogi, Nik Dennler, Michael Schmuker +1
Rapid detection of gas concentration is important in different domains like gas leakage monitoring, pollution control, and so on, for the prevention of health hazards. Out of diffe…
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end
Shavika Rastogi, Nik Dennler, Michael Schmuker +1
Gas concentration detection is important for applications such as gas leakage monitoring. Metal Oxide (MOx) sensors show high sensitivities for specific gases, which makes them par…
Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit
Nik Dennler, André van Schaik, Michael Schmuker
Neuromorphic computing is one of the few current approaches that have the potential to significantly reduce power consumption in Machine Learning and Artificial Intelligence. Imam…
Event-based Feature Extraction Using Adaptive Selection Thresholds
Saeed Afshar, Ying Xu, Jonathan Tapson +2
Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain…
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs +12
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuro…
An FPGA-based Massively Parallel Neuromorphic Cortex Simulator
Runchun Wang, Chetan Singh Thakur, Andre van Schaik
This paper presents a massively parallel and scalable neuromorphic cortex simulator designed for simulating large and structurally connected spiking neural networks, such as comple…