Researching Artificial Neurons that mimic biological neurons

Artificial neurons mimic biological neurons by using the same language

Artificial intelligence is a hotly debated topic. A computer algorithm learns by example, but the human brain uses neurons – brain cells. They are taught and send signals to the other neurons. The synapses and their complex network of neuronal connections control our thoughts and behaviors.

The biological signals are more varied than those of conventional computers. In a biological network, for example, neurons communicate with biomolecules, ions and neurotransmitters. More specifically, neurons communicate either chemically–by emitting the messenger substances such as neurotransmitters–or via electrical impulses, so-called \”action potentials\” or \”spikes\”.

Artificial neurons are currently a research area. In order to achieve efficient communication between biology and electronics, artificial neurons must be created that mimic realistically their biological counterparts. Artificial neurons are required to be able to process the diverse signals found in biology. Most artificial neurons have only been able to mimic their biological counterparts in an electrical manner, and not taken into consideration the wet environment of biomolecules, ions and neurotransmitters.