You can’t so much as turn sideways without stumbling over this story, especially in the transhumanist and Singularitarian neighbourhoods of the web, and with good reason. So let’s just cut straight to the meat of it:
Scientists, at IBM Research – Almaden, in collaboration with colleagues from Lawrence Berkeley National Lab, have performed the first near real-time cortical simulation of the brain that exceeds the scale of a cat cortex and contains 1 billion spiking neurons and 10 trillion individual learning synapses. [via KurzweilAI]
(And I’ll tell you, much as I love the web and the young crazy companies that throng through it, no one writes a press release like the guys from IBM.)
Additionally, in collaboration with researchers from Stanford University, IBM scientists have developed an algorithm that exploits the Blue Gene® supercomputing architecture in order to noninvasively measure and map the connections between all cortical and sub-cortical locations within the human brain using magnetic resonance diffusion weighted imaging. Mapping the wiring diagram of the brain is crucial to untangling its vast communication network and understanding how it represents and processes information.
These advancements will provide a unique workbench for exploring the computational dynamics of the brain, and stand to move the team closer to its goal of building a compact, low-power synaptronic chip using nanotechnology and advances in phase change memory and magnetic tunnel junctions. The team’s work stands to break the mold of conventional von Neumann computing, in order to meet the system requirements of the instrumented and interconnected world of tomorrow.
All the pomp and majesty of the best publicity material, but still somehow stately, dignified. You’ll have to forgive me, but I see a whole lot of press releases on a daily basis, and when I see one this well crafted, I just have to sit back and admire it (or envy it) for a moment.
But delivery systems aside, what’s the story here? Basically, IBM have built a computer that simulates the complexity and interconnection of a cat’s brain, which is significantly more complex than previous neuro-cortical simulations. Why does that matter? Well, because for those who theorise that the human mind is an entirely emergent property of the brain (that there’s no such thing as a soul or spirit, in other words) the ability to simulate the hardware that the mind runs on should provide us the ability to simulate the mind itself. And once we can simulate it, we can probably record, transfer, tweak and tamper with it. Think human-level artificial intelligence; think Technological Singularity predicated on a point where intelligent machine become intelligent enough to redesign themselves. Think brain uploading, Moravec cyborg bodies, a panoply of simulated virtual universes… think hard and crazy science fictional stuff, in other words.
Of course, there’s no certainty that any of these things will result from IBM’s simulated cat brain, but it’s another proof-of-concept step along that road. Now all they have to do is keep the BlueGene computer from chasing dust motes in sunbeams and taking a nap every time they want to run some tests. [image by avatar-1]
4 thoughts on “IBM brain simulations reach cat equivalency”
If they put one of those in a robot will they give it claws?
Cyberdyne Systems anyone?
The new beginning of Skynet…
IBM’s claim is a HOAX.
This is a mega public relations stunt – a clear case of scientific deception of the public. These simulations do not even come close to the complexity of an ant, let alone that of a cat. IBM allows Mohda to mislead the public into believing that they have simulated a brain with the complexity of a cat – sheer nonsense.
Here are the scientific reasons why it is a hoax:
How complex is their model?
They claim to have simulated over a billion neurons interacting. Their so called “neurons” are the tiniest of points you can imagine, a microscopic dot. Over 98% of the volume of a neuron is branches (like a tree). They just cut off all the branches and roots and took a point in the middle of the trunk to represent a entire neuron. In real life, each segment of the branches of a neuron contains dozens of ion channels that powerfully controls the information processing in a neuron. They have none of that. Neurons contain 10’s of thousands of proteins that form a network with 10’s of millions of interactions. These interactions are incredibly complex and will require solving millions of differential equations. They have none of that. Neurons contain around 20’000 genes that produce products called mRNA, which builds the proteins. The way neurons build proteins and transport them to all the corners of the neuron where they are needed is an even more complex process which also controls what a neuron is, its memories and how it will process information. They have none of that. They use an alpha function (up fast down slow) to simulate a synaptic event. This is a completely inaccurate representation of a synapse. There are at least 6 types of synapses that are highly non-linear in their transmission (i.e. that transform inputs and not only transmit inputs). In fact you would need a 10’s of thousands of differential equations to simulate one synapse. Synapses are also extremely complex molecular machines that would themselves require thousands of differential equations to simulate just one. They simulated none of this. There are complex differential equations that must be solved to simulate the ionic flow in the branches, to simulate the ion channels biophysics, the protein-protein interactions, as well as the complete biochemical and genetic machinery as well as the synaptic transmission between neurons. 100’s of thousands of more differential equations. They have none of this. These “points” they simulated and the synapses that they use for communication are literally millions of times simpler than a real cat brain. So they have not even simulated a cat’s brain at one millionth of its complexity.
Is it nonetheless the biggest simulation ever run?
No. These people simulated 1.6 billion points interacting. They used a formulation to model the summing up and threshold spiking of the “points” called the Izhikevik Formulation. Prof Eugene Izhikevik himself already in 2005 has run a simulation with 100 billion such points interacting just for the fun of it: (over 60 larger simulations have been run) :
The simulations ran on a cluster of desktop PCs every graduate student could have built. This is no technical achievement. That model exhibited oscillations, but that always happens so even simulating 100 Billion such points interacting is light years away from a brain.
Is the simulator they built a big step?
Not even close. There are numerous proprietary and peer-reviewed neurosimulators (e.g., NCS, pNEURON, SPLIT, NEST) out there that can handle very large parallel models that are essentially only bound by the available memory. The bigger the machine you have available, the more neurons you can simulate. All these simulators apply optimizations for the particular platform in order to make optimal use of the available hardware. Without any comparison to existing simulators, their publication is a non-peer reviewed claim.
Did they learn anything about the brain?
They got very excited because they saw oscillations. Oscillations are an obligatory artifact that one always gets when many points interact. These findings that they claim on the neuroscience side may excite engineers, but not neuroscientists.
Why did they get the Gordon Bell Prize?
They submitted a non-peer reviewed paper to the Gordon Bell Committee and were awarded the prize almost instantly after they made their press release. They seem to have been very successful in influencing the committee with their claim, which technically is not peer-reviewed by the respective community and is neuroscientifically outrageous.
But is there any innovation here?
The only innovation here is that IBM has built a large supercomputer – which is irrelevant to the press release.
Why did IBM let Mohda make such a deceptive claim to the public?
The only possible reason I can think of is that this a publicity stunt promote their supercompter. The supercomputer industry is suffering from the financial crisis and they probably are desperate to boost their sales. It is so disappointing to see this truly great company allow the deception of the public on such a grand scale.
But have you not said you can simulate the Human brain in 10 years?
I am a biologist and neuroscientist that has studied the brain for 30 years. I know how complex it is. I believe that with the right resources and the right strategy it is possible. We have so far only simulated a small part of the brain at the cellular level of a rodent and I have always been clear about that.
Would other neuroscientists agree with you?
There is no neuroscientist on earth that would agree that they came even close to simulating the cat’s brain – or any brain.
But did Mohda not collaborate with neuroscientists?
I would be very surprised if any neuroscientists that he may have had in his DARPA consortium realized he was going to make such an outrages claim. I can imaging that it is remotely possible that the San Fransisco neuroscientists knew he was going to make such a stupid claim.
But did you not collaborate with IBM?
I was collaborating with IBM on the Blue Brain Project at the very beginning because they had the best available technology to faithfully allow us to integrate the diversity and complexity found in brain tissue into a model. This for me is a major endeavor to advance our insights into the brain and drug development. Two years ago, when the same Dharmendra Mhoda claimed the “mouse-scale simulations”, I cut all neuroscience collaboration with IBM because this is an unethical claim and it deceives the public.
Aren’t you afraid they will sue you for saying that they have deceived the public?
We’ll there is right and wrong and what they have done is not only wrong, but outrageous. They deceived you and millions of other people.
Blue Brain Project
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