activity
20232026
most citedSpike-time encoding of gas concentrations using neuromorphic analog sensory front-end

5 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2026

Odour sensing in turbulent plumes with high-speed electronic nose and non-invasive ground truth

Nik Dennler, Elle Stark, Saimon Collaku +6

Chemical sensing in real-world environments requires resolving rapidly fluctuating and spatially heterogeneous concentration fields. However, these dynamics are strongly distorted…

cs.NE2024

Neuromorphic circuit for temporal odor encoding in turbulent environments

Shavika Rastogi, Nik Dennler, Michael Schmuker +1

Natural odor environments present turbulent and dynamic conditions, causing chemical signals to fluctuate in space, time, and intensity. While many species have evolved highly adap…

cs.NE2024

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…

eess.SP2024★ 2 cited

High-speed odour sensing using miniaturised electronic nose

Nik Dennler, Damien Drix, Tom P. A. Warner +6

Animals have evolved to rapidly detect and recognise brief and intermittent encounters with odour packages, exhibiting recognition capabilities within milliseconds. Artificial olfa…

cs.NE2023★ 5 cited

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…

cs.NE2023

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…