832 citations · 2.1k across the 51 of their papers we have counts for
7 papers · 1 filter
Labyrinth chaos: Revisiting the elegant, chaotic and hyperchaotic walks
Vasileios Basios, Chris G. Antonopoulos, Anouchah Latifi
Labyrinth chaos was discovered by Otto Rössler and René Thomas in their endeavour to identify the necessary mathematical conditions for the appearance of chaotic and hyperchaotic m…
Influence of autapses on synchronisation in neural networks with chemical synapses
P. R. Protachevicz, K. C. Iarosz, I. L. Caldas +3
A great deal of research has been devoted on the investigation of neural dynamics in various network topologies. However, only a few studies have focused on the influence of autaps…
Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic
Ian Cooper, Argha Mondal, Chris G. Antonopoulos
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of the spread of the COVID-19 virus in four countries of interest. In particular, the…
A SIR model assumption for the spread of COVID-19 in different communities
Ian Cooper, Argha Mondal, Chris G. Antonopoulos
In this paper, we study the effectiveness of the modelling approach on the pandemic due to the spreading of the novel COVID-19 disease and develop a susceptible-infected-removed (S…
Noise induces continuous and noncontinuous transitions in neuronal interspike intervals range
P R Protachevicz, M S Santos, E G Seifert +11
Noise appears in the brain due to various sources, such as ionic channel fluctuations and synaptic events. They affect the activities of the brain and influence neuron action poten…
Emergence of mixed mode oscillations in random networks of diverse excitable neurons: the role of neighbors and electrical coupling
Subrata Ghosh, Argha Mondal, Peng Ji +4
In this paper, we focus on the emergence of diverse neuronal oscillations arising in a mixed population of neurons with different excitability properties. These properties produce…