Fuzzy inference systems always suffer from the lack of efficient structures or platforms for
their hardware implementation. In this paper, we tried to overcome this difficulty by …

In this work, we will focus on the use of Phase Change Memory (PCM) to emulate synaptic
behavior in emerging neuromorphic system-architectures. In particular, we will originally …

The memristor as a basic circuit element has drawn wide attention in the international
research community of electrical engineers, physicists, and biologists. Memristors-being …

In the foreseeable future, synergistic advances in high-density memristive memory, scalable
and massively parallel hardware, and neural network research will enable modelers to …

Memristive computing refers to the utilization of the memristor, the fourth fundamental
passive circuit element, in computational tasks. The existence of the memristor was …

ReRAM-based neural network accelerators (RNAs) could outshine their digital counterparts
in terms of computational efficiency and performance remarkably. However, some open …

The alternating current (AC) and direct current (DC) electrical response of a number of n-
alkyl methacrylate polymers with a charge transporting pendant carbazole ring were studied …

An associative memory is an essential building block for high-level networks for cognitive or
brain-like computing. In this paper we consider the problem of designing associative …

This chapter gives a basic idea of fuzzy calculus meant for the uninitiated researcher. The
principal definitions of fuzzy order logic along with practical realizations are discussed …

Realizing adaptive brain functions subserving perception, cognition, and motor behavior on
biological temporal and spatial scales remains out of reach for even the fastest computers …