no code implementations • 18 Oct 2023 • Palash Kumar Pal, Md Sayeed Anwar, Dibakar Ghosh
We observe a decrease in the synchronous behavior or, alternatively, an increase in desynchrony due to the inclusion of group interactions among the patches of the middle layer.
no code implementations • 14 Mar 2023 • Sayantan Nag Chowdhury, Jeet Banerjee, Matjaž Perc, Dibakar Ghosh
We first show that a simple predator prey parasite model, inspired by the classical Lotka Volterra equations, fails to produce a stable coexistence of all three species, thus failing to provide a biologically realistic outcome.
no code implementations • 22 Aug 2022 • Sourin Chatterjee, Sayantan Nag Chowdhury, Dibakar Ghosh, Chittaranjan Hens
The persistence of biodiversity of species is a challenging proposition in ecological communities in the face of Darwinian selection.
no code implementations • 22 Apr 2022 • Tugba Palabas, Andre Longtin, Dibakar Ghosh, Muhammet Uzuntarla
More specifically, we explore how an astrocyte can participate in occurrence and control of spontaneous irregular spiking activity of a neuron in random spiking mode.
no code implementations • 15 Jul 2021 • Sayantan Nag Chowdhury, Srilena Kundu, Jeet Banerjee, Matjaž Perc, Dibakar Ghosh
Ecology and evolution are inherently linked, and studying a mathematical model that considers both holds promise of insightful discoveries related to the dynamics of cooperation.
1 code implementation • 9 Jun 2021 • Arnob Ray, Tanujit Chakraborty, Dibakar Ghosh
This study develops an optimized ensemble deep learning (OEDL) framework wherein these two machine learning techniques are jointly used to achieve synergistic improvements in model accuracy, stability, scalability, and reproducibility prompting a new wave of applications in the forecasting of dynamics.
