analysed bursting synchronisation and suppression of phase synchronisation in network based on cat’s brain. Regarding this realistic neuronal network, it was studied the relationship between structural and functional connectivity at different levels of synchronisation. They arranged the cortex in four cognitive regions or connectional groups of areas: visual, auditory, somatosensory-motor, and frontolimbic. Scannell and Young reported the connectional organisation of neuronal systems in the cat cerebral cortex. One of the mammalian brain connectivity studies that has received considerable attention is the connectivity in the cat cerebral cortex. For instance, the cat has approximately 10 9 neurons in the brain and 10 13 synapses, , while the human brain has approximately 10 11 neurons and 10 14 synapses. Such a brain is arranged according to not only interacting elements on different levels, but also of different interconnections and functions. Mammals have the most complex brains of all vertebrates, which vary in size by a factor of 10 5. The mammalian brain has neuronal mechanisms that give support to various anatomically and functionally distinct structures. Moreover, we find that chimera-like states with desynchronised bursts are more robust to neuronal noise than with desynchronised spikes. We identify two different kinds of chimera-like states: spiking chimera-like state with desynchronised spikes, and bursting chimera-like state with desynchronised bursts. Here, we analyse under which conditions chimera-like states are present, as well as the effects induced by intensity of coupling on them. The Hindmarsh–Rose equations are a well known model of the neuronal activity that has been considered to simulate the membrane potential in neuron. We consider a network where the local dynamics is given by the Hindmarsh–Rose model. The cerebral cortex of the cat can be separated in 65 cortical areas organised into the four cognitive regions: visual, auditory, somatosensory-motor and frontolimbic. In this work, we study the existence of chimera-like states in a network considering the connectivity matrix based on the cat cerebral cortex. Recently, it has been verified that the networks can simultaneously exhibit one coherent and other incoherent domain, known as chimera states. Neuronal systems have been modelled by complex networks in different description levels.
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