Abstract: The principal innovative contribution of this study resides in the introduction of a category of fractional delayed large-scale neural networks characterized by intricate topological ...

Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...