The human process 11 trillion bits per second

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Discussion Overview

The discussion revolves around the capacity of the human brain to process and store information, specifically questioning the claim that humans process 11 trillion bits per second. Participants explore the nature of information storage in the brain, comparing it to computer processing capabilities and discussing philosophical implications regarding the materiality of information.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant suggests that information is stored in an immaterial realm rather than in the brain's physical structure, questioning the validity of current estimates of information processing.
  • Another participant compares the human ability to distinguish colors to the color capabilities of computer monitors, expressing skepticism about digitizing brain function in the same way as computers.
  • A different viewpoint posits that if the brain operates as an analog system, the estimation of data processing capacity becomes complex, with considerations of synaptic behavior and the need for high accuracy in replication.
  • Calculations presented suggest that if synaptic weights can be modified rapidly, the processing power required could be on the order of 40 Petaflops, but this remains speculative due to unknown factors in biological brain function.
  • Some participants recommend literature that discusses the capacities of the human brain and its comparison to computers, indicating interest in further exploration of the topic.

Areas of Agreement / Disagreement

Participants express differing views on the nature of information storage and processing in the brain, with no consensus reached on the validity of the 11 trillion bits per second claim or the implications of these estimates.

Contextual Notes

There are unresolved questions regarding the rapidity of synaptic weight modification and the number of time-steps required for accurate integration in the brain, which complicate the estimation of processing capacity.

Who May Find This Useful

This discussion may be of interest to those exploring cognitive science, neuroscience, philosophy of mind, and comparisons between biological and artificial information processing systems.

bobsmith76
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I'm trying to figure out how many bits of information the human has stored in his mind. I personally believe that information is not stored in atoms in the person's brain but is stored in an immaterial realm and the information is not made of material. We can talk about whether or not that's true in a philosophy forum if you want. Nick Herbert in the elemental mind
https://www.amazon.com/dp/0452272459/?tag=pfamazon01-20
calculates that we process 11 trillion bits per second. I think this is a low ball number because he thinks our eyes are processing 125 million bits per second, but that's not true because we have 125 million rods/cones and each one is being hit by several photons per second and moreover we can distinguish 8 million different colors so you would need an I don't know how many bit system to distinguish 8 million different colors.

Whatever the number is I think what can definitely be answered here is the ratio of the size computer processor one has to how much information it can process per second. For example my computer has a 160 gig harddrive and it can download 3 megs per second, that's (1.6 * 10^11)/(3*10^6) which is about 10^5.

I'm thinking that if we can get a rough idea of what the ratio of processor size to processing per second is we can get a small idea of the magnitude of the problem. Of course things with the mind might be entirely different.

So my question here is just how much larger do computers have to be if they are to process x bits per second?

My general thesis will be that if we can show that a human has more than about 10^17 bits in their memory then that would prove that information is not material. We only have 4 * 10^10 neurons and at most 5 * 10^14 synapses so it's hard to justify where this information would be located in the brain.
 
Computer science news on Phys.org
we can distinguish 8 million different colors
This sounds surprisingly close to the 16,777,216 different colors that a PC monitor and video card can display at the setting of True Color.

Perhaps your computer can distinguish color number 234,568 from 234,569 but I cannot.
My eyes are just not that sensitive and my brain processing capabilities fail there also.

At the High Color setting the output is 65,536 different colors, and most people do not notice any difference in a picture displayed at High Color from True Color.

But truth be told, I can see an unlimited number of colors far greater than 8 million.

Be a little wary when trying to digitize the brain function in the same way that a typical computer processes information.
 
bobsmith76 said:
I personally believe that information is not stored in atoms in the person's brain but is stored in an immaterial realm
For the sake of being able to answer your question I will have to pretend you did not say that.

calculates that we process 11 trillion bits per second.
If we assume that the brain is an analog system then there is no absolute answer. We can suggest to say how much data we need to process to replicate the phenomenon to high accuracy. I'll assume an analog nature due to the modulatory behavior of the synaptic cleft, however because the space is so small there is likely a quantization of the degree of resistivity (small number of molecules), in this sense it may be true that there could be a reasonable 1:1 numerical correspondence, although other contributing factors to synaptic potential such as the size of the synapse and it's location would likely suggest that the representation of it's weight should be continuous.

If I represent the 100 Trillion synapses with 4 Byte floats, that's 400 Terabytes of data. If I assume that < 10% of the synapses need to be updated within one second that's 40TB or 320 trillion bits. In this regard I'm just about within an order of magnitude in the estimation.

The problem is however that I don't know

#1. How rapidly synaptic weights can be modified in a biological brain.

#2. The number of time-steps per second to achieve accurate integration. The number of calculations that need to be undergone to update a single synapse would likely be far larger than what the synapse contains due to the numerical simulation required to acquire the modulatory behavior of the synapse. If the temporal model of the brain can be simplified to some sort of discretized representations such as in artificial neural networks then this becomes much easier to analyze, however at this point in time it is unknown what are the ultimate functional relevancies of the working brain.

If I were then to assume something on the order of 100 integration steps per second I would come to a rough conclusion that on the upper end of the estimate about 40 Petaflops of processing power would be required.


bobsmith76 said:
My general thesis will be that if we can show that a human has more than about 10^17 bits in their memory then that would prove that information is not material.
Good luck with your thesis. I suspect you will have a very difficult task ahead of you.
 
Dear Bobsmith76 I found this article which might help to answer your questions.
h t t p : // ergo. human. cornell. edu/ studentdownloads/ DEA3250pdfs / hip. pdf

Best of lucks,
 
I would recommend reading the book "The Singularity is Near" by Ray Kurzweil if he is interested in the topic of the capacities of the human brain and the comparison to computers.
 
Agree, the singularity is near is highly recommended.
bests.
 

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