Large-scale neuromorphic computing systems

Large-scale neuromorphic computing systems.

Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them from mainstream conventional computing systems. The philosophy behind neuromorphic computing has its origins in the seminal work carried out by Carver Mead at Caltech in the late 1980s. This early work influenced other...

Computing in Large-Scale Dynamic Systems

This work was carried out in the ASCI graduate school. ASCI dissertation series number 281. iii The purpose of computing is insight, not numbers.-Richard Hamming iv Acknowledgements When I started my PhD, I knew the road towards the finish would be a difficult and long one. The transformation process I passed through the last four years has been quite remarkable. I learned to be independent and...

A partition-based algorithm for clustering large-scale software systems

Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...

Neuromorphic Sensory Processing Using Analog Very Large - Scale Integration Circuits

Neuromorphic Sensory Processing Using Analog Very Large-Scale Integration Circuits Neuromorphic circuits are analog circuits that implement models of biological systems for sensory processing. Because the neuromorphic circuits share the same physical constraints as their biological counterparts, they have similar organizational structures and use similar strategies for optimizing robustness to ...

Tutorial: Neuromorphic computing