Development of Artificial Synapses To Simulate The Basic Function of Our Nervous System

The most common challenges in the development of Artificial Intelligence is knowing the working of human brain and determining the way to mimic it. Now, a team of researchers reports in ACS Nano that they have developed an artificial synapse capable of simulating a basic processes of our nervous system — the release of inhibitory and stimulatory signals from an equivalent “pre-synaptic” terminal.

The human nervous system is formed of over one hundred trillion synapses, structures that enable neurons to pass electrical and chemical signals to one another. In mammals, these synapses will initiate and inhibit biological messages. several synapses simply relay one style of signal, whereas others will convey each kind at the same time or will switch between the two. To develop AI systems that better mimic human learning, cognition and image recognition, researchers are imitating synapses within the research laboratory with electronic elements. Most current artificial synapses, however, are solely capable of delivering one kind of signal. So, Han Wang, Jing Guo and colleagues sought-after to form a man-made synapse that may reconfigurably send stimulatory and inhibitory signals.

The researchers developed a synaptic device that may reconfigure itself based on voltages applied at the input terminal of the device. A junction manufactured from black phosphorus and tin selenide allows switch between the excitative and inhibitory signals. This new device is flexible and versatile, that is extremely fascinating in artificial neural networks. additionally, the artificial synapses might alter the planning and functions of nervous system simulations.

Source: Science Daily

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