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Brain Transistors When Associated with Pressure Stimulates Human Learning:

  • Uncategorized
  • Jul 08, 2021

The human brain acts like the CPU, it stores and process every thought, memory and news. The process of brain is also responsible for overall movement of the body. Our body receives a command instructed by the brain and that’s how we encounter a rapid movement. Researchers have been successfully able to mimic human brain into a scientific language through a machine. We can say that they developed a working synaptic transistors which can copy the human brain and perform different functions of brain through storing and capturing memories which are in the form of waves. The learning process is time consuming and we can observe this by a real life example, the brain sometimes finds it difficult to remember all the things and as a result, only certain events get stored in our brain. The information that stays in brain differs from individual to individual. So in the set up researchers develop inventions like they conditioned transistors into a device and then associated it with light by some pressure.

It is very much similar to Pavlov’s dog associated a bell with a food. The process of learning by association is becoming extraordinary and other research institutes are also working on these things. This research was initiated and placed by highly experts who also informed us of the fact that various possibilities are yet to come in the field of brain medics. Researchers at Northwestern University and University of Hong Kong have successfully conditioned their circuit to associate light with a sorted pressure.

The device's secret lies within its novel organic, electrochemical synaptic transistors, which simultaneously process and store information just like the human brain. The researchers demonstrated that the transistor can mimic the short-term and long-term plasticity of synapses in the human brain, building on memories to learn over time. With its brain-like ability, the novel transistor and circuit could potentially overcome the limitations of traditional computing, including their energy-sapping hardware and limited ability to perform multiple tasks at the same time. The brain-like device also has higher fault tolerance, continuing to operate smoothly even when some components fail.