<p>The human brain has a finite quantity of neurons (<a href="https://www.brainfacts.org/In-the-Lab/Meet-the-Researcher/2018/How-Many-Neurons-Are-In-The-Brain-120418" rel="nofollow noreferrer">86 billion being the last estimate</a>), which can each be in a finite amount of states (even accounting for current models of quantum physics and quantum computation, and hypothesis that those do play a non negligible role in the functioning of the brain in general and memory in particular).</p>
<p>The research area of <a href="https://en.wikipedia.org/wiki/Information_theory" rel="nofollow noreferrer">Information Theory</a> has dealt with &quot;the quantification, storage, and communication of information&quot; since the 1920s. It has yield many robust applications (e.g. data compression) which you use every single day, including when downloading and reading this stack-exchange post. A key concept in information theory is <a href="https://en.wikipedia.org/wiki/Entropy_(information_theory)" rel="nofollow noreferrer">information entropy</a>, the average level of &quot;information&quot;, &quot;surprise&quot;, or &quot;uncertainty&quot; in the output of a system (such as, for instance, a memory); and a key property is that albeit a finite system (say, of <span class="math-container">$n$</span> components of <span class="math-container">$b$</span> states each) can hold <strong>at most</strong> an <strong>exponential</strong> amount of information (here, <span class="math-container">$b^n$</span> bits of information), this very large amount is nevertheless finite.</p>
<p>I can only guess that the people you cite as describing the amount of information that a brain can hold as infinite are at once</p>
<ol>
<li>confusing &quot;exponential&quot; (which can get to very large quantities very &quot;fast&quot;, including numbers larger than the estimated number of particles in the universe) with &quot;infinite&quot;; and</li>
<li>confusing an <strong>upper bound</strong> on the amount of information that a system (here the brain) can hold with an actual measurement of its holding capacity.</li>
</ol>
<p>Hope it helps!</p>

CC BY-SA 4.0
2023-01-26T11:04:45.687Z
2023-01-26T11:04:45.687Z
J.y B.y
<p>We don’t know how memories are stored in the brain, how much “space” a memory takes up and how many neurons can be stored in one synapse. That being said- someone once said (I think it was Wired Magazine) that there is an infinite amount of space in the brain for memories. One person on a forum pointed out that if memories are like 1’s and 0’s it is indeed infinite. Yet what casts doubt in my mind is that the human brain is only a 3 lb hunk of 86 billion neurons. That’s a big number but it isn’t infinity. That would indicate it has a limit. Yet then logically a person who lived to be 300 (in the future) wouldn’t have the ability to recollect things vanish. That wouldn’t make sense.</p>
<p>Does anybody know which is right?</p>

CC BY-SA 4.0
2023-01-21T22:14:57.873Z
Looks like a duplicate of: [What is the capacity of the human brain?](https://psychology.stackexchange.com/q/17463/7001) and [What's the memory capacity of the human brain?](https://psychology.stackexchange.com/q/24035/7001)
Arnon Weinberg
CC BY-SA 4.0
2023-01-26T10:51:59.230Z
Welcome to Stack Exchange! You should complete your questions with references to 
- the article in Wired Magazine (or else) stating that "there is an infinite amount of space in the brain for memories";
- the forum where someone "pointed out that if memories are like 1’s and 0’s it is indeed infinite"; 
as those are the bases for your question.
J.y B.y
<memory><long-term-memory>
Could memory storage be infinite or is it very unlikely?
Max
# Could memory storage be infinite or is it very unlikely?

(Asked by: username_0 on 2023-01-21)

We don’t know how memories are stored in the brain, how much “space” a memory takes up and how many neurons can be stored in one synapse. That being said- someone once said (I think it was Wired Magazine) that there is an infinite amount of space in the brain for memories. One person on a forum pointed out that if memories are like 1’s and 0’s it is indeed infinite. Yet what casts doubt in my mind is that the human brain is only a 3 lb hunk of 86 billion neurons. That’s a big number but it isn’t infinity. That would indicate it has a limit. Yet then logically a person who lived to be 300 (in the future) wouldn’t have the ability to recollect things vanish. That wouldn’t make sense.

Does anybody know which is right?

**Tags:** memory, long-term-memory

> **Comments:**
> **username_1**: Looks like a duplicate of: [What is the capacity of the human brain?](https://psychology.stackexchange.com/q/17463/7001) and [What's the memory capacity of the human brain?](https://psychology.stackexchange.com/q/24035/7001)  
> **username_2**: Welcome to Stack Exchange! You should complete your questions with references to  - the article in Wired Magazine (or else) stating that "there is an infinite amount of space in the brain for memories"; - the forum where someone "pointed out that if memories are like 1’s and 0’s it is indeed infinite";  as those are the bases for your question.  

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## 1 answers

### Answer by username_2 on 2023-01-26. Score: 2

The human brain has a finite quantity of neurons ([86 billion being the last estimate](https://www.brainfacts.org/In-the-Lab/Meet-the-Researcher/2018/How-Many-Neurons-Are-In-The-Brain-120418)), which can each be in a finite amount of states (even accounting for current models of quantum physics and quantum computation, and hypothesis that those do play a non negligible role in the functioning of the brain in general and memory in particular).

The research area of [Information Theory](https://en.wikipedia.org/wiki/Information_theory) has dealt with "the quantification, storage, and communication of information" since the 1920s. It has yield many robust applications (e.g. data compression) which you use every single day, including when downloading and reading this stack-exchange post. A key concept in information theory is [information entropy](https://en.wikipedia.org/wiki/Entropy_(information_theory)), the average level of "information", "surprise", or "uncertainty" in the output of a system (such as, for instance, a memory); and a key property is that albeit a finite system (say, of $n$ components of $b$ states each) can hold **at most** an **exponential** amount of information (here, $b^n$ bits of information), this very large amount is nevertheless finite.

I can only guess that the people you cite as describing the amount of information that a brain can hold as infinite are at once

1. confusing "exponential" (which can get to very large quantities very "fast", including numbers larger than the estimated number of particles in the universe) with "infinite"; and
2. confusing an **upper bound** on the amount of information that a system (here the brain) can hold with an actual measurement of its holding capacity.

Hope it helps!


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