Neuromorphic circuits are seen as a potential candidate to mimic the behavior of biological
networks. Hardware realizations of specific components, like memristive devices, in such …

Memristors—nonlinear resistors with memory—are potential candidates for the utilization in
self‐organizing circuits. These novel elements need innovative technological developments …

Memory elements are suited for building self-organizing circuits. In contrast to memristive
devices (nonlinear resistors with memory), memreactive devices (nonlinear capacitors or …

Memristive systems are nonlinear resistors with memory. Most of them are realized as
resistive switching devices in nanotechnology. One example, with appropriate properties …

Neuromorphic circuits are potential candidates for solving costly computations in an efficient
manner. Such circuits, mimicking partial functionalities of the brain, need a large number of …

Pioneering developments in electrical engineering are based on inspirations from biology.
They exhibit naturally an efficient information processing. For example, hardware …

Memelements-circuit elements with memory-serve novel applications in several technical
disciplines. Due to similar functionalities to synapses, they are especially suitable for …

The paper deals with hardware emulation of bio-inspired devices and nonlinear dynamic
processes of complex nature by means of mixed-mode analog-digital emulators. The …

Since electrical circuits are known to be inherently massively parallel architectures, circuit-
inspired approaches are potential candidates to solve computationally complex problems …

Neuromorphic circuits mimic partial functionalities of brain in a bio-inspired information
processing sense in order to achieve similar efficiencies as biological systems. While there …