That’s capturing everything. Ultimately you need only a tiny fraction of that data to emulate the human brain.
Numenta is working on a brain model to create functional sections of the brain. Their approach is different though. They are trying to understand the components and how they work together and not just aggregating vast amounts of data.
You find a computer from 1990. You take a picture (image) of the 1KB memory chip which is on a RAM stick, there are 4 RAM sticks. You are using a DSLR camera. Your image in RAW comes out at 1GB. You project because there’s 8 chips per stick, and 4 sticks it’ll 32GB to image your 4KB of RAM.
You’ve described nothing about the ram. This measurement is meaningless other than telling you how detailed the imaging process is.
Of course, not to say the data isn’t also important though. It’s very possible that we’re missing something crucial regarding how the brain functions, despite everything we know so far. The more data we have, the better we can build/test these more streamlined models.
Given the prevalence of intelligence in nature using vastly different neurons I’m not sure if you even need to have an exact emulation of the real thing to achieve the same result.
No, that captures just the neuroanatomy. Not the properties like density of ion channels, type, value of the synapse and all the things we don’t know yet.
Never seen Numenta talked about in the wild! Worked with them on a pattern recognition project in college and it was freaky similar to how toddlers learned about the world around them.
That’s capturing everything. Ultimately you need only a tiny fraction of that data to emulate the human brain.
Numenta is working on a brain model to create functional sections of the brain. Their approach is different though. They are trying to understand the components and how they work together and not just aggregating vast amounts of data.
No it does not. It captures only the physical structures. There’s also chemical and electrical state that’s missing.
Think of this:
You find a computer from 1990. You take a picture (image) of the 1KB memory chip which is on a RAM stick, there are 4 RAM sticks. You are using a DSLR camera. Your image in RAW comes out at 1GB. You project because there’s 8 chips per stick, and 4 sticks it’ll 32GB to image your 4KB of RAM.
You’ve described nothing about the ram. This measurement is meaningless other than telling you how detailed the imaging process is.
Of course, not to say the data isn’t also important though. It’s very possible that we’re missing something crucial regarding how the brain functions, despite everything we know so far. The more data we have, the better we can build/test these more streamlined models.
These models would likely be tested against these real datasets, so they help each other.
I don’t think any simplified model can work EXACTLY like the real thing. Ask rocket scientists
Fortunately it doesn’t have to be exactly like the real thing to be useful. Just ask machine learning scientists.
Given the prevalence of intelligence in nature using vastly different neurons I’m not sure if you even need to have an exact emulation of the real thing to achieve the same result.
No, that captures just the neuroanatomy. Not the properties like density of ion channels, type, value of the synapse and all the things we don’t know yet.
I want the whole brain, not a republican.
Never seen Numenta talked about in the wild! Worked with them on a pattern recognition project in college and it was freaky similar to how toddlers learned about the world around them.
Point for simulation theory.
i mean they probably use vast amounts of data to learn how it all works.