Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

This paper considers the exponential synchronization issue for variable-order fractional
complex dynamical networks (FCDNs) with short memory and derivative couplings via the …

The marvelous Wilson neuron model involves sodium and potassium ion currents, which
offer great significance in generating firing activities. This paper firstly deduces that the …

Simplicial complexes capture the underlying network topology and geometry of complex
systems ranging from the brain to social networks. Here we show that algebraic topology is a …

Hodgkin–Huxley (HH) circuit can reproduce abundant neuronal firing activities, but it is hard
to physically implement the HH circuit. To solve this issue, an implementable HH circuit with …

The aim of this paper is to investigate exponential synchronization issue of time-varying
multi-weights network with time delays (TMNTD) via periodic self-triggered intermittent …

We introduce a new model consisting of globally coupled high-dimensional generalized limit-
cycle oscillators, which explicitly incorporates the role of amplitude dynamics of individual …

Abstract Information transmission delays are inherent in neuronal systems and significantly
influence their dynamic properties. Recent studies have shown that delay-induced multiple …

In this paper, an array of discrete-time coupled complex-valued neural networks (CVNNs)
with random system parameters and time-varying delays are introduced. The stochastic …

This article concentrates on the synchronization of discrete-time persistent dwell-time (PDT)
switched bidirectional associative memory inertial neural networks with time-varying delays …