The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and
Internet of Things applications expect the emerging memristor devices and their hardware …

The nervous system is composed of a large number of neurons, and the electrical activities
of neurons can present multiple modes during the signal transmission between neurons by …

Higher-order interactions might play a significant role in the collective dynamics of the brain.
With this motivation, we here consider a simplicial complex of neurons, in particular …

Both electric and chemical synapses play an important role in receiving and propagating
signals, and thus an isolated neuron and neurons in networks can be activated to trigger …

Memristors have been intensively studied in recent years as potential building blocks for the
construction of versatile neuromorphic architectures. The prevalent developments focus on …

First, this paper announces a seven-term novel 3-D conservative chaotic system with four
quadratic nonlinearities. The conservative chaotic systems are characterized by the …

A memristor is a vital circuit element that can mimic biological synapses. This paper
proposes the memristive version of a recently proposed map neuron model based on the …

The memristor has drawn a significant interest in the fields of neuromorphic circuits because
the nanoscale memristor is a strong candidate to become the critical element of novel ultra …

Chaos theory has a manifold variety of applications in science and engineering. In this
paper, new chemical chaotic reactor equations are derived by modifying the chemical …

Nonlinear term is critical for emergence of chaos in autonomous dynamical systems. The
sampled time series in chaotic system are dependent on the initial selection of variables …