Compared with von Neumann's computer architecture, neuromorphic systems offer more
unique and novel solutions to the artificial intelligence discipline. Inspired by biology, this …

This is the first time that the method for the investigation of unpredictable solutions of
differential equations has been extended to unpredictable oscillations of neural networks …

In this paper, we rigorously prove that unpredictable oscillations take place in the dynamics
of Hopfield-type neural networks (HNNs) when synaptic connections, rates and external …

In the chapter, we explore the presence of alpha unpredictable recurrence within various
models of Hopfield-type neural networks, given as differential equations outlined in …

In this study, we consider a new type of oscillations for impulsive models with Hopfield
structure. This is the first time, the notions of constant impact changes, impact responses and …

This research presents a performances analysis between different activation functions in
solving non-systematic logical rule, specifically Random 2 Satisfiability (RAN2SAT) in …

Modern Hopfield Networks (HNs) have the ability to store a large number of target memories
(eg binary patterns) and then recall a memory in its entirety when prompted by a sub-set or …

Neuroscience is strongly connected to the theory of oscillations. Many processes of brain
activity and artificial neural networks are oscillating. Considering the irregular motions in the …

Facial recognition technology is based on a person's facial features. It is often the core of
applications such as biometrics, access control, and forensics. However, due to …