My research paper, „PySpice-Simulated In Situ Learning with Memristor Emulation for Single-Layer Spiking Neural Networks, “ was published today in the MDPI Electronics journal (IF 2.6), Special Issue: Recent Advances and Related Technologies in Neuromorphic Computing. Abstract: This paper presents a novel approach to in situ memristive learning by training spiking neural networks (SNNs) entirely within the [...]
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 [...]
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