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Synaptic Plasticity and Spike Synchronisation in Neuronal Networks
Authors:Rafael R. Borges,Fernando S. Borges,Ewandson L. Lameu,Paulo R. Protachevicz,Kelly C. Iarosz,Iberê L. Caldas,Ricardo L. Viana,Elbert E. N. Macau,Murilo S. Baptista,Celso Grebogi,Antonio M. Batista
Affiliation:1.Department of Mathematics,Federal University of Technology - Paraná,Apucarana,Brazil;2.Institute of Physics,University of S?o Paulo,S?o Paulo,Brazil;3.National Institute for Space Research,S?o José dos Campos,Brazil;4.Post-Graduation in Science,State University of Ponta Grossa,Ponta Grossa,Brazil;5.Institute for Complex Systems and Mathematical Biology, King’s College,University of Aberdeen,Aberdeen,UK;6.Department of Physics,Federal University of Paraná,Curitiba,Brazil;7.Department of Mathematics and Statistics,State University of Ponta Grossa,Ponta Grossa,Brazil
Abstract:
Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal adaptation in response to changes in the environment or due to brain injury. In this review, we show our results about the effects of synaptic plasticity on neuronal networks composed by Hodgkin-Huxley neurons. We show that the final topology of the evolved network depends crucially on the ratio between the strengths of the inhibitory and excitatory synapses. Excitation of the same order of inhibition revels an evolved network that presents the rich-club phenomenon, well known to exist in the brain. For initial networks with considerably larger inhibitory strengths, we observe the emergence of a complex evolved topology, where neurons sparsely connected to other neurons, also a typical topology of the brain. The presence of noise enhances the strength of both types of synapses, but if the initial network has synapses of both natures with similar strengths. Finally, we show how the synchronous behaviour of the evolved network will reflect its evolved topology.
Keywords:
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