On-chip training for cellular neural networks using iterative annealing

A cellular neural network based method for classification of magnetic resonance images: Towards an automated detection of hippocampal sclerosis

“…Nevertheless, due to the straightforward structural architecture of CNN that restricts itself to local couplings, hardware realizations as integrated circuits (e.g., in CMOS technology) of such networks are already available and offer the potentiality of real-time applications for a massively parallel signal processing. Recent studies have shown that robust templates, which do not only work on CNN simulators, but also on hardware implementations can be found using an on-chip optimization (Feiden and Tetzlaff, 2003). Further research will show whether our CNN-based classification approach can be transferred onto a hardware-CNN without reducing the performance.…”

Epilepsy

“…Connection templates can be derived analytically for some specific applications, but network optimization (via supervised learning [98,99,138,163]) is usually required to identify proper templates.…”