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. [...]
spiking neural networks
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 [...]
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 [...]
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