1 research outputs found
Generic Wave Digital Emulation of Memristive Devices
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 are common mathematical models
for neurons, which can be realized as nonlinear oscillating circuits, an
electrical representation of the synaptic coupling between those is more
challenging. Since this coupling strength depends on the learning procedure in
the past, it should include a kind of memory. We believe that memristive
devices, which are essentially nonlinear resistors with memory, are potential
candidates for replacing synapses in neuromorphic circuits. Due to a huge
number of synapses in a complex neuromorphic circuit, pre-investigations based
on simulations of such systems can be very inefficient and time-consuming.
Flexible and real-time capable memristive emulators, which can directly be
incorporated into real circuits, can overcome this problem. In our approach, we
introduce a generic memristive emulator based on wave digital principles. The
proposed emulator is flexible, robust, efficient, and it preserves the
passivity of the real device. This, in turn, also makes it reusable independent
of a particular application. In the presented work, the emulation of different
mathematical models as well as of a real device based on physical models are
listed