The role of Mathematical pathways in modeling Computational Neurosciences

Prelegent(ci)

Argha Mondal

Afiliacja

Sidho-Kanho-Birsha University, India and University of Essex, UK

Język referatu

angielski

Termin

27 listopada 2024 14:15

Pokój

p. 5070

Seminarium

Seminarium Zakładu Biomatematyki i Teorii Gier

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UWAGA: Seminarium odwołane. Odbędzie się prawdopodobnie za tydzień online.

We study the Mathematical Frameworks for complex analysis of excitatory/oscillatory single neurons and networks for functional mechanisms. It exhibits a highly complex dynamical behavior interconnected via synaptic coupling: Chemical & electrical coupling, autaptic coupling. We investigate different firing characteristics or modes (such as various types of spiking, bursting, chattering, fast spiking, mixed mode oscillations etc.). We study firing activities on the deterministic, noise induced and spatiotemporal excitable systems as a continuous excitable cable.  We also work on the abnormal firings of self organized neurons as well as the networks and their functional behavior with Synchronization. Particularly, Bursting is a manifestation of the slow-fast dynamics observed in neuroscience including pathological brain states. Recently, fractional order dynamics has been appropriately applied in Computational neuroscience to investigate neuronal responses in single as well as network of neurons.

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