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CrossNets: High-Performance Neuromorphic Architectures for CMOL Circuits

Abstract: The exponential, Moores Law, progress of electronics may be continued beyond the 10‐nm frontier if the currently dominant CMOS technology is replaced by hybrid CMOL circuits combining a silicon MOSFET stack and a few layers of parallel nanowires connected by self‐assembled molecular electronic devices. Such hybrids promise unparalleled performance for advanced information processing, but require special architectures to compensate for specific features of the molecular devices, including low voltage gain and possible high fraction of faulty components. Neuromorphic networks with their defect tolerance seem the most natural way to address these problems. Such circuits may be trained to perform advanced information processing including (at least) effective pattern recognition and classification. We are developing a family of distributed crossbar network (CrossNet) architectures that permit the combination of high connectivity neuromorphic circuits with high component density. Preliminary estimates show that this approach may eventually allow us to place a cortex‐scale circuit with about 1010 neurons and about 1014 synapses on an approximately 10 × 10 cm2 silicon wafer. Such systems may provide an average cell‐to‐cell latency of about 20 nsec and, thus, perform information processing and system training (possibly including self‐evolution after initial training) at a speed that is approximately six orders of magnitude higher than in its biological prototype and at acceptable power dissipation.

Neuromorphic architectures for nanoelectronic circuits: Research Articles

Nanotechnology finds in flagellar bacteria an uncomparable example of a very efficient and miniaturized motor. This and the complex behaviour of the bacteria colonies growth in a self-organized way make the study of flagellar bacteria very important and appealing for possible applications. This brief paper presents an innovative point of view: instead of designing nanoscale devices the control of flagellar bacteria is an alternative solution for nanoscale problems. For these reasons in this work single bacterium motion and colonies growth have been studied by applying non-linear methods in order to characterize their behaviour and control it. The characterization of the single bacterium motion leads to the conclusion that determinism (due to chemotaxis) is predominant with respect to random terms. This result is confirmed by the possibility of modelling the case study of colonies growth through an activation/inhibition dynamics. Copyright