S
Saicharan1919
Guest
I always have the concept of building an exact brain-like hardware, in my mind. By which I mean, computer architectures inspired by Brain. The other thing which inspired me and pushed me to think in this direction is that the brain has large computation power but consumes small amounts of energy. Hence, I started understanding how exactly the brain works, especially the neurons inside the brain tissues.
In the process, I found that our brain is actually very sensitive in terms of packaging and processing info. In other words, when we compare it with the chips and its purpose, maintaining conditions like in a brain, we can't build a chip. Bare with me, you will understand this clearly in further sentences.
As we know, neuron is the one which gets more attention for all that computational power inside Brain, like a fundamental unit. But what actually happens in neuron is, that the electric impulses (or info) travel because of a potential difference developed between inner and outer body of the axion. This potential is mainly controlled by few voltage driven gates (though they are other factors of control too). The cut-off potential for these is in mV. This less power consumption (low potentials) is what makes brain more efficient. One thing to notice is that all those high computations are handled in the above discussed environment. Though we can't prove that how computation is happening in such environment, we can understand that the effect of this environment (like a supporting feature) is there on that high computational power of the brain.
In real-life chips/hardwares, maintaining such low potential environments are not possible I guess because it will be too sensitive to the external environment. We can also understand it in vice-versa. Our brain is sensitive and misbehave when provided any external direct electric impulses which is done by many neurologists to treat patients. Whereas, these are somewhat common in the environments where chips work.
Now, my opening point is - since we are appreciating the computation power of the brain by not considering the environment in it, hence we can't achieve the same level of computation power for our hardware.
I tried my best to put all my understanding in words. Please mention the places which lacks clarity, if any.
I am expecting a good understanding on this hence ready to learn new things and correct myself as well.
In the process, I found that our brain is actually very sensitive in terms of packaging and processing info. In other words, when we compare it with the chips and its purpose, maintaining conditions like in a brain, we can't build a chip. Bare with me, you will understand this clearly in further sentences.
As we know, neuron is the one which gets more attention for all that computational power inside Brain, like a fundamental unit. But what actually happens in neuron is, that the electric impulses (or info) travel because of a potential difference developed between inner and outer body of the axion. This potential is mainly controlled by few voltage driven gates (though they are other factors of control too). The cut-off potential for these is in mV. This less power consumption (low potentials) is what makes brain more efficient. One thing to notice is that all those high computations are handled in the above discussed environment. Though we can't prove that how computation is happening in such environment, we can understand that the effect of this environment (like a supporting feature) is there on that high computational power of the brain.
In real-life chips/hardwares, maintaining such low potential environments are not possible I guess because it will be too sensitive to the external environment. We can also understand it in vice-versa. Our brain is sensitive and misbehave when provided any external direct electric impulses which is done by many neurologists to treat patients. Whereas, these are somewhat common in the environments where chips work.
Now, my opening point is - since we are appreciating the computation power of the brain by not considering the environment in it, hence we can't achieve the same level of computation power for our hardware.
I tried my best to put all my understanding in words. Please mention the places which lacks clarity, if any.
I am expecting a good understanding on this hence ready to learn new things and correct myself as well.