ReplaceNet: real-time replacement of a biological neural circuit with a hardware-assisted spiking neural network
Sangwoo Hwang,
Yujin Hwang,
Duhee Kim
et al.
Abstract:Recent developments in artificial neural networks and their learning algorithms have enabled new research directions in computer vision, language modeling, and neuroscience. Among various neural network algorithms, spiking neural networks (SNNs) are well-suited for understanding the behavior of biological neural circuits. In this work, we propose to guide the training of a sparse SNN in order to replace a sub-region of a cultured hippocampal network with limited hardware resources. To verify our approach with … Show more
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