Modeling cortical states by spiking neurons

Computational neuroscience has been effective in providing tools for investigation of cognitive processes along with neurodegenerative diseases and neurological disorders, recently. In this work, it will be shown that it could be possible to understand the mechanisms behind cortical dynamics using spiking neural networks. Here, Izhikevich neuron model is used to set up a cortex model and with this model, signals related to brain dynamics have been observed.