Nik Dennler

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Anomaly Detection

Electronic Nose

Spiking Neural Networks

Encoding Schemes

Top Venues

Publications

Ali Mehrabi, Nik Dennler, Yeshwanth Bethi, André van Schaik, Saeed Afshar
Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). ISIE (2024)
Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu Chakrabartty
ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers. CoRR (2024)
Nik Dennler, Damien Drix, Tom P. A. Warner, Shavika Rastogi, Cecilia Della Casa, Tobias Ackels, Andreas Schaefer, André van Schaik, Michael Schmuker
High-speed odour sensing using miniaturised electronic nose. CoRR (2024)
Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. BioCAS (2023)
Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. CoRR (2023)
Nik Dennler, André van Schaik, Michael Schmuker
Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit. CoRR (2023)
Damien Drix, Nik Dennler, Michael Schmuker
Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation. ISOEN (2022)
Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker
Rapid Inference of Geographical Location with an Event-based Electronic Nose. NICE (2022)
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. AICAS (2021)
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. CoRR (2021)
Nik Dennler, Antonio Foncubierta-Rodríguez, Titus Neupert, Marilyne Sousa
Learning-based Defect Recognition for Quasi-Periodic Microscope Images. CoRR (2020)