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 was my last working day as a postdoctoral researcher at TU Chemnitz, where I had been researching in the area of neuromorphic computing for the past six months. It was a very interesting endeavor, and I am grateful to have been part of it. I worked on the „Print the Brain“ project (which was [...]
Did you know that you can use Python to simulate neuromorphic circuits completely? I discovered this recently in my current job as a researcher in neuromorphic computing. A few months ago, after doing some state-of-the-art reading regarding neuromorphic circuits, I planned to experiment with designing and simulating neuromorphic circuits. The easiest way to start was [...]
Efficient Implementation of Spiking Neural Networks for Inference using Ex-Situ TrainingCheck 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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