Memristor devices offer an alternative route to transistor scaling and the exponential growth
of computational resources. Numerous memristors have the potential to be used in …

Fractional-order chaotic oscillators (FOCOs) have been widely studied during the last
decade, and some of them have been implemented on embedded hardware like field …

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on
elaborate transistor circuits to simulate biological functions. However, these can instead be …

Various neuron models and circuits have been developed to explore how neurons detect
and encode different stimuli. However, relevant researches failed to consider edge effects …

Fractional-Order circuits and networks being a widely researched field lags in its
development due to the non-availability of its basic building block ie Fractional-Order …

Dynamics in fractional order systems has been discussed extensively for presenting a
possible guidance in the field of applied mathematics and interdisciplinary science. Within …

In this article, we mainly consider the existence of solutions and global Mittag–Leffler
stability of delayed fractional-order coupled reaction-diffusion neural networks without strong …

Chialvo is one of the two-dimensional map-based neural models. In this paper, a memristor
is added to this model to consider the electromagnetic induction's effects. The memristor is …

Guaranteeing security in information exchange is a challenge in public networks, such as in
the highly popular application layer Message Queue Telemetry Transport (MQTT) protocol …

In this work, a single transistor based on germanium (Ge) is used to construct a leaky
integrate-and-fire (LIF) neuron with significant improvement in energy efficiency, area …