This study deepens our understanding of chimera patterns in neuronal networks. A reduced model of the network is derived to study oscillation death, which helps explaining the transition from spatial chaos to oscillation death via the chimera state with a solitary state. In physics, this type of state, which is characterized by the coexistence of order and disorder, is called a 'chimera state.' Using MRI data from 20 humans on 90 different brain sites. In addition, oscillation death including chimera death emerges in this network. Another peculiar hybrid state is found that combines the features of this chimera state and a solitary state such that the main coherent cluster is interspersed with some nodes with identical solitary dynamics. Apart from the classical chimera, we report a new type of chimera pattern whose incoherent clusters are characterized by spatial random swings among a few fixed periodic attractors. In this paper, these phenomena are investigated in a network of FitzHugh-Nagumo oscillators taken in the form of the original model and it is found that it exhibits diverse partial synchronization patterns that are unobserved in the networks with simplified models. Chimerism in humans is defined as the presence of two genetically different cell lines within the same organism. In 2017, a human-pig chimera was reported to have been created the chimera was also reported to have 0.001 human. ![]() How common is it Experts aren’t sure how many. Chimera is a Greek mythological monster with a lion head, goat head protruding from the midbody, snake tail (sometimes identified as a dragon) with dragon wings. Human-animal chimeras edit The first stable human-animal chimeras to actually exist were first created by Shanghai Second Medical University. Their bodies contain two different sets of DNA. ![]() For the study of symmetry-breaking phenomena in neuronal networks, simplified versions of the FitzHugh-Nagumo model are widely used. In real life, chimeras are animals or humans that contain the cells of two or more individuals.
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