Estados Dinâmicos de Redes Neuronais com Corrente Lenta de Potássio

Abstract

We investigated networks composed of neurons described by the Hodgkin-Huxley neuronal model with the addition of slow potassium currents proposed by Yamada, Koch, and Adams. These currents are responsible for adapting the neuronal firing frequency as their potassium conductance increases. Furthermore, non-local coupling was used to promote interaction between the elements of the neuronal network, acting as excitatory synapses, while the intensity of this coupling regulates the excitability that a neuron produces in its neighbors. The networks were simulated using NEURON and NetPyNE, and the metrics used to establish differences between network states included local and global order parameters, firing frequency, coefficient of variation of the interval between neuronal firings, and the count of incoherent neurons. Under certain parameters, we observed the emergence of coherent dynamic states, chimeras, and incoherent states of these structures as the synaptic coupling radius, excitatory conductance of neurons in the network, and applied external current increase.