Motor prostheses aim to restore function to disabled patients. Despite compelling proof of concept systems, barriers to clinical translation remain. One challenge is to develop a low-power, fully-implantable system that dissipates only minimal power so as not to damage tissue. To this end, we implemented a Kalman-filter based decoder via a spiking neural network (SNN) and tested it in brain-mac...

This article presents PAPRICA-3, a VLSI-oriented architecture for real-time processing of images and its implementation on HACRE, a high-speed, cascadable, 32-processors VLSI slice. The architecture is based on an array of programmable processing elements with the instruction set tailored to image processing, mathematical morphology, and neural networks emulation. Dedicated hardware features al...

Deep Neural Networks (DNN) have achieved human level performance in many image analytics tasks but DNNs are mostly deployed to GPU platforms that consume a considerable amount of power. Brain-inspired spiking neuromorphic chips consume low power and can be highly parallelized. However, for deploying DNNs to energy efficient neuromorphic chips the incompatibility between continuous neurons and s...

Deep Neural Networks (DNN) achieve human level performance in many image analytics tasks but DNNs are mostly deployed to GPU platforms that consume a considerable amount of power. New hardware platforms using lower precision arithmetic achieve drastic reductions in power consumption. More recently, brain-inspired spiking neuromorphic chips have achieved even lower power consumption, on the orde...

Nowadays Network-on-Chips is used instead of System-on-Chips for better performance. This paper presents a new algorithm to find a shorter path, and shows that genetic algorithm is a potential technique for solving routing problem for mesh topology in on-chip-network.

Results from a neural-network trigger based on the digital MA16 chip of Siemens are reported. The neural trigger has been applied to data from the WA92 experiment, looking for beauty particles, which have been collected during a run in which a neural trigger module based on Intel's analog neural chip ETANN operated, as already reported. The MA16 has a precision of 16 bits for input variables, 1...

In order to improve the production quality and qualification rate of chips, X-ray nondestructive imaging technology has been widely used in detection chip defects, which represents an important part inspection products after packaging. However, current traditional defect algorithm cannot meet demands high accuracy, fast speed, real-time industrial production. Therefore, this paper proposes a ne...

lif, mg and ti cubical tld chips (known as tld-100) are widely used for dosimetry purposes. the repeatability of tl dosimetry is investigated by exposing them to doses of (81, 162 and 40.5 mgy) with 662kev photons of cs-137. a group of 40 cubical tld chips was randomly selected from a batch and the values of element correction coefficient (ecc) were obtained 4 times by irradiating them to doses...