Leti scientists have formed a neuromorphic system that can filter the information and separate the main thing from the secondary. This was told about “Gazeta.ru” in Leti.
Yolu Neuromorphic systems based on the neuron model we recommend can concentrate selectively to important information from input data. This innovation will significantly reduce the information resources necessary for machine learning. It is comparable to design the interfaces of the brain-computer and nervous system. ”
Traditional computers at a transistor component base based on the architecture of Von Neumann are approaching the limits of their abilities on compact, performance and energy consumption. For this reason, scientists from around the world are carried out by research aimed at developing computer technology on alternative principles.
In particular, one of the most promising fields in recent years is neuromorphic electronics – it acts by simulating neurons. As a rule, neuromorphic systems make calculations in synaptic memory by coding information in impact signals produced by artificial neurons. Scientists compiled a chain of nerves of only five elements. The main electronic component of the created system is the membrane produced in Beijing Institute.
“For the first time in such small currents, our mathematical model allows you to control the membrane (we talk about processing and recording), as well as to evaluate the basic features. It is a complex calculation task that depends on a large number of parameters, which was important to learn how to work with an artificial neural chain in such a neuron. When designing, our model can find an application to solve this problem. ”
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Source: Gazeta
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