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(1)If you convert human brain capacity into a computer
(2)When you buy a computer, you choose to consider the capacity of an SSD or a hard drive, which is one of the key elements of the computer specification, but the human brain is sometimes compared to a computer, but it’s not easy to solve this question, because it doesn’t work completely differently Nevertheless, it can be converted too much
(3)In computer science, the smallest unit of data is called bitbit There are two kinds of binary states in this bit: 0 and 1, which are on and off, and when eight bits are combined, it’s called one byte, and by combining a lot of bits in this way, you can save more information
(4)In our brains, on the other hand, the counterpart to the beat of computer science is synapse Synapses are the parts where two nerve cells meet to exchange information and are the smallest units that govern memory Synapses, like beats, have two types of images
(5)It’s turned on and off We estimate that there are 250 trillion synapses in our brains So if you calculate one synapse as one bit, it comes to the conclusion that the human brain can hold about 30 terabytes of data, or 30 trillion bytes of data
(6)But this is not the end of the bill Because synapses have multiple sizes of neuronal signals, and they can emit signals of varying intensities, not just on and off The strength of this synapse depends on how intense the memory is, which means that if the synaptic strength is small, the memory becomes more ambiguous than when it is large
(7)It was thought that there were only two or three kinds of synapses, but a paper published in 2015 showed that one synapse actually sends 26 kinds of signals
(8)This increases the amount of synaptic strength that a single nerve cell exhibits and allows one synapse to preserve about five bits At this conversion rate, the human brain is estimated to have a capacity of about 150 terabytes And of course, whether it’s these numbers or these numbers, it’s just a theory-based approximation, so it’s going to be a lot different It’s because, as I mentioned earlier, the way that the human brain and the computer work and the structure are completely different
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