The Biological Neural Network presented in the paper is based on the Izhikevich Neuron Model.
The main paper is the following: https://iopscience.iop.org/article/10.1088/1757-899X/1254/1/012025
Main Izhikevich Neuron Model Paper https://www.izhikevich.org/publications/spikes.pdf
In our paper there are 2 types of excitatory neurons: Regular Spiking (RS) and Chattering (CH) and 2 types of inhibitory neurons : Low Threshold Spiking (LTS) and Fast Spiking (FS). The firing patterns of neurons,when having a stimulus of 5 pA are given below:
The Biological Neural Network's signal is compared with an EEG signal acquired while a person was doing mathematical computations. For a number of 10, 100 and 1000 neurons in the network, it is shown that for 50 trials each situation, the correlation with the eeg signal increases as the number of neurons increases.
EEG Signals used for comparison:
