Search Results for author:
Found 5 papers, 2 papers with code
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end
We show that in the setting of controlled airflow-embedded gas injections, the time difference between the two generated pulses varies inversely with gas concentration, which is in agreement with the spike timing difference between tufted cells and mitral cells of the mammalian olfactory bulb.
Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit
Neuromorphic computing is one of the few current approaches that have the potential to significantly reduce power consumption in Machine Learning and Artificial Intelligence.
Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks
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.
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks
Vibration patterns yield valuable information about the health state of a running machine, which is commonly exploited in predictive maintenance tasks for large industrial systems.
Learning-based Defect Recognition for Quasi-Periodic Microscope Images
Controlling crystalline material defects is crucial, as they affect properties of the material that may be detrimental or beneficial for the final performance of a device.
