To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. This matters, for example, if we want to simulate neuronal plasticity or the effect of antidepressants. We're an incredibly long way from a full simulation, which wou…
To correctly model a cell you would need to simulate every atom and there are about 10^11 to 10^14 (!) of them in a single cell. I think an interesting number would be how many atoms does it take to simulate one atom reasonably well. Then you could get correct results for some ( really ) small biological functions.
Simulating 1 second of real brain activity takes 40 minutes and 83K processors
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Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#22To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. This matters, for example, if we want to simulate neuronal plasticity or the effect of antidepressants. We're an incredibly long way from a full simulation, which wou…
> To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. To me, this mostly shows that naive beliefs about difficulty aren't really accurate ('but it should it harder to simulate a brain than a cell, because it's bigger r…
Yes, you can simulate anything if you abstract away enough. But if the goal is a convincing replication, you'll need to include lots of intracellular effects.
In the end, I believe that practical simulation of a whole brain that you can have a conversation about its existence with is more difficult than the development of quantum computing powerful enough to break all existing crypto.
The work is still interesting, if only because it pushes the limits of what we can do. But I might want to start with an ant brain.
Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#23To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. This matters, for example, if we want to simulate neuronal plasticity or the effect of antidepressants. We're an incredibly long way from a full simulation, which wou…
To correctly model a cell you would need to simulate every atom and there are about 10^11 to 10^14 (!) of them in a single cell. I think an interesting number would be how many atoms does it take to simulate one atom reasonably well. Then you could get correct results for some ( really ) small biological functions.
It's hard to say which is the better approach. On the one hand you have MD from which you could technically build an accurate model "from scratch", folding all of your own proteins as part of the simulation, but it is exceedingly expensive to do that. On the other hand, you have a model built at the level of biochemical reactions and molecular biology, which is computationally feasible, but then you don't have enough information from bench work to flesh it out.
Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#24To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. This matters, for example, if we want to simulate neuronal plasticity or the effect of antidepressants. We're an incredibly long way from a full simulation, which wou…
> To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. To me, this mostly shows that naive beliefs about difficulty aren't really accurate ('but it should it harder to simulate a brain than a cell, because it's bigger r…
Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#25Unfortunately, that's only for a number of cells equivalent to 1% of a human brain. A full brain's worth of simulation would take 2.5 days....although that much is probably not necessary. It will fall soon enough, though.
Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#26Unfortunately, that's only for a number of cells equivalent to 1% of a human brain. A full brain's worth of simulation would take 2.5 days....although that much is probably not necessary. It will fall soon enough, though.
The thought that we are maybe two decades away from having the computing power to simulate a human brain in realtime (and much more than that subsequently) is astounding, even in this age of technological wonder.
We could do it now (hardware-wise), if we really wanted to.
Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#27To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. This matters, for example, if we want to simulate neuronal plasticity or the effect of antidepressants. We're an incredibly long way from a full simulation, which wou…
> To put this claim in perspective, we are still unable to simulate a single cell by modeling everything we know from biochemistry, even if we ignore molecular dynamics. Mostly this is because we don't know what many genes and the proteins they encode do. To me, this mostly shows that naive beliefs about difficulty aren't really accurate ('but it should it harder to simulate a brain than a cell, because it's bigger r…
Also note that: "The model accounts for previously observed gene essentiality with 79% accuracy." This is REALLY bad. Considering they are 'seeding' the model using a biased structure that automatically "knows" that certain genes are essential (for example, they have a 'module' for replication that probably zeroes out if you are missing an important replication component, as opposed to simulating how those genes work at a low level) this is probably somewhere close to as good as flipping a coin.
Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#28Earlier quoted context omitted.
The thought that we are maybe two decades away from having the computing power to simulate a human brain in realtime (and much more than that subsequently) is astounding, even in this age of technological wonder.
Assuming (1) it's parallelisable (2) this is an accurate enough similation, and (3) a whole human brain is 100 times bigger, we'd need 40 60 83k*100 processors which is about 20 billion. We could do it now (hardware-wise), if we really wanted to.
Re: Simulating 1 second of real brain activity takes 40 minutes and 83K processors
#29Earlier quoted context omitted.
To correctly model a cell you would need to simulate every atom and there are about 10^11 to 10^14 (!) of them in a single cell. I think an interesting number would be how many atoms does it take to simulate one atom reasonably well. Then you could get correct results for some ( really ) small biological functions.
Aren't you modeling a subset of the universe at that level? Isn't a model supposed to provide a higher level understanding/abstraction?