Model of lateral inhibition using a network of heterogeneous Hodgkin-Huxley neurons

We present an original model of lateral inhibition based on a network of heterogeneous Hodgkin-Huxley neurons. We consider two types of neurons: excitatory Regular Spiking with Adaptation neurons and inhibitory Fast Spiking neurons and two types of synapses: chemical and electrical. We design networks of lateral inhibition based on a previously introduced accurate and scalable feedback structure. In addition, we demonstrate the effect of lateral inhibition when the network receives input current of different intensities that conceptually corresponds to different levels of brightness received by neurons belonging to the visual system. Finally, we prove the accuracy of the lateral inhibition model by simulating a very common visual illusion.