Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA

Each probability of activation or deactivation is represented by a differential equation. When implementing this, the actual potential is reproduced. Different types of neurons exist, leading to the desire to produce all types of neurons. For example, there are regular spiking neurons, which are excitatory, and fast spiking neurons, which exhibit symmetry. In the brain, there is a prevalence of regular spiking and fast spiking neurons. The main difference between the two is that fast spiking neurons act more like oscillators, maintaining a fixed frequency during stimulation, while regular spiking neurons exhibit frequency adaptation over time.