Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Fatemeh Parastesh"'
Autor:
Sajad Jafari, Atiyeh Bayani, Fatemeh Parastesh, Karthikeyan Rajagopal, Charo I. del Genio, Ludovico Minati, Stefano Boccaletti
Publikováno v:
Physical Review Research, Vol 6, Iss 4, p 043105 (2024)
The master stability function is a robust and useful tool for determining the conditions of synchronization stability in a network of coupled systems. While a comprehensive classification exists in the case in which the nodes are chaotic dynamical sy
Externí odkaz:
https://doaj.org/article/5cb12ab2812d4ccabea49e6cf43cfabf
Autor:
Prasina Alexander, Fatemeh Parastesh, Ibrahim Ismael Hamarash, Anitha Karthikeyan, Sajad Jafari, Shaobo He
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 10, Pp 17849-17865 (2023)
The significance of discrete neural models lies in their mathematical simplicity and computational ease. This research focuses on enhancing a neural map model by incorporating a hyperbolic tangent-based memristor. The study extensively explores the i
Externí odkaz:
https://doaj.org/article/dc3e4eb6beac49df96de4175bd5167a8
Autor:
Jayaraman Venkatesh, Alexander N. Pchelintsev, Anitha Karthikeyan, Fatemeh Parastesh, Sajad Jafari
Publikováno v:
Mathematics, Vol 11, Iss 21, p 4470 (2023)
This paper presents a study on a memristive two-neuron-based Hopfield neural network with fractional-order derivatives. The equilibrium points of the system are identified, and their stability is analyzed. Bifurcation diagrams are obtained by varying
Externí odkaz:
https://doaj.org/article/9295d078ef124fc38eed3fa2fe99de8f
Publikováno v:
Complexity, Vol 2023 (2023)
The Rulkov map model is an efficient model for reproducing different dynamics of the neurons. In specific neurons, the electrical activity is regulated by time-delayed self-feedback called autapse. This paper investigates how the dynamics of the Rulk
Externí odkaz:
https://doaj.org/article/5e408b3d848c4bffb3144f668929507b
Autor:
Mahtab Mehrabbeik, Fatemeh Parastesh, Janarthanan Ramadoss, Karthikeyan Rajagopal, Hamidreza Namazi, Sajad Jafari
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9394-9409 (2021)
Map-based neuronal models have received much attention due to their high speed, efficiency, flexibility, and simplicity. Therefore, they are suitable for investigating different dynamical behaviors in neuronal networks, which is one of the recent hot
Externí odkaz:
https://doaj.org/article/e6296307f39845409bd7c543d7c612ee
Autor:
Dorsa Nezhad Hajian, Sriram Parthasarathy, Fatemeh Parastesh, Karthikeyan Rajagopal, Sajad Jafari
Publikováno v:
Entropy, Vol 24, Iss 12, p 1807 (2022)
The dynamical interplay of coupled non-identical chaotic oscillators gives rise to diverse scenarios. The incoherent dynamics of these oscillators lead to the structural impairment of attractors in phase space. This paper investigates the couplings o
Externí odkaz:
https://doaj.org/article/7adfed13370c4175a5aba4fb290fe007
Autor:
Janarthanan Ramadoss, Sajedeh Aghababaei, Fatemeh Parastesh, Karthikeyan Rajagopal, Sajad Jafari, Iqtadar Hussain
Publikováno v:
Complexity, Vol 2021 (2021)
The fractional calculus in the neuronal models provides the memory properties. In the fractional-order neuronal model, the dynamics of the neuron depends on the derivative order, which can produce various types of memory-dependent dynamics. In this p
Externí odkaz:
https://doaj.org/article/8d322f9e2efc4c18bb7ef3165657e6b1
Autor:
Balamurali Ramakrishnan, Fatemeh Parastesh, Sajad Jafari, Karthikeyan Rajagopal, Gani Stamov, Ivanka Stamova
Publikováno v:
Fractal and Fractional, Vol 6, Iss 3, p 169 (2022)
Fractional-order neuronal models that include memory effects can describe the rich dynamics of the firing of the neurons. This paper studies synchronization problems in a multiple network of Caputo–Fabrizio type fractional order neurons in which th
Externí odkaz:
https://doaj.org/article/b28c398c21f64811ada9de9866f762fe
Publikováno v:
Integration. 89:37-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4ac19d763ffdf46b1afa0eb8d8600a2
https://doi.org/10.1016/j.vlsi.2022.11.007
https://doi.org/10.1016/j.vlsi.2022.11.007
Publikováno v:
The European Physical Journal Special Topics. 231:3971-3976
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d69843e3d34c05cfdc18660e05bc34
https://doi.org/10.1140/epjs/s11734-022-00626-2
https://doi.org/10.1140/epjs/s11734-022-00626-2