Complementary metal-oxide-semiconductor (CMOS) transistors are commonly used in very-
large-scale-integration (VLSI) digital circuits as a basic binary switch that turns on or off as …

Braindrop is the first neuromorphic system designed to be programmed at a high level of
abstraction. Previous neuromorphic systems were programmed at the neurosynaptic level …

Objective. Computation in nervous systems operates with different computational primitives,
and on different hardware, than traditional digital computation and is thus subjected to …

Random device mismatch plays an important role in the design of accurate analog circuits.
Models for the matching of MOS and bipolar devices from open literature show that matching …

Increasingly large deep learning architectures, such as Deep Belief Networks (DBNs) are
the focus of current machine learning research and achieve state-of-the-art results in …

In this paper we provide an overview of translinear circuit design using MOS transistors
operating in subthreshold region. We contrast the bipolar and MOS subthreshold …

Biologically motivated feature extraction algorithms have been found to provide significantly
robust performance in speech recognition systems, in the presence of channel and noise …

Cryogenic device models are essential for the reliable design of the cryo-CMOS electronic
interface necessary to build future large-scale quantum computers. This paper reports the …

The new generation of silicon retinae has two defining characteristics. First, these synthetic
retinae are morphologically equivalent to their biological counterparts-at an appropriate …

Smart vision systems will be an inevitable component of future intelligent systems.
Conventional vision systems, based on the system level integration (or even chip level …