Bio-Inspired Computing Architectures

Architectures and design methodologies for bio-inspired computing machines

Bio-Inspired Computing Systems Toward Novel Computational Architectures

Biologically Inspired Computing in CMOL CrossNets

This extended abstract outlines my invited keynote presentation of the recent work on neuromorphic networks (“CrossNets”) based on hybrid CMOS/nanoelectronic (“CMOL”) circuits, in the space-saving Q/A format.

Dynamically Reconfigurable Hardware for Evolving Bio-Inspired Architectures

During the last few years, reconfigurable computing devices have experienced an impressive development in their resource availability, speed, and configurability. Currently, commercial FPGAs offer the possibility of self-reconfiguring by partially modifying their configuration bit-string, providing high architectural flexibility, while guaranteeing high performance. On the other hand, we have b...

Bio-inspired computing with resistive memories - models, architectures and applications

The traditional Von Neumann architecture has constrained the potential for applying massively parallel architecture to embedded high performance computing where we must optimize the size, weight and power of the system. Inspired by highly parallel biological systems, such as the human brain, the neuromorphic architecture offers a promising novel computing paradigm for compact and energy efficie...