My research paper „Efficient Implementation of Spiking Neural Networks for Inference using Ex-Situ Training“ was published in the IEEE Access (IF 3.4) journal today. Abstract: This paper introduces a novel method for designing and simulating neuromorphic circuits for inference tasks, utilizing spiking neural networks (SNNs) trained ex-situ to offer practical advantages in efficiency and accuracy. [...]
Today, exactly 5 months since I started working as a neuromorphic computing researcher at pmTUC, my first research paper in this field, „SNNtrainer3D: Training Spiking Neural Networks using a User-friendly Application with 3D Architecture Visualization Capabilities“ was published in the MDPI’s Applied Sciences journal. Abstract: Spiking Neural Networks have gained significant attention due to their [...]
Efficient Implementation of Spiking Neural Networks for Inference using Ex-Situ Training
Check out the „Add Me“ feature on Google Pixel 9My last working day as a Neuromorphic Computing researcher at TU ChemnitzThe monthly costs of living in GermanySome updates from Chemnitz
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