Re: SV: [agi] mouse uploading

2007-04-29 Thread Charles D Hixson
I think someone at UCLA did something similar for lobsters.  This was 
used as material for an SF story ("Lobsters", Charles Stross[sp?])


Jan Mattsson wrote:

Has this approach been successful for any "lesser" animals? E.g.; has anyone 
simulated an insect brain system connected to a simulated insect body in a virtual 
environment? Starting with a mouse brain seems a bit ambitious.

Since I haven't posted on the list before I guess I should introduce myself: I'm Jan Mattsson in 
Stockholm, Sweden. A software developer by profession, I first became interested in AI when I read 
"Gödel Escher Bach - an Eternal Golden Braid" many years ago (actually switched from 
physics to computer science because of it). More recently I read Kurzweil's "The Singularity 
is near", that brought me here.

/JanM


-Ursprungligt meddelande-
Från: J. Storrs Hall, PhD. [mailto:[EMAIL PROTECTED]
Skickat: lö 2007-04-28 19:15
Till: agi@v2.listbox.com
Ämne: [agi] mouse uploading
 
In case anyone is interested, some folks at IBM Almaden have run a 
one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene (in 
0.1 real time):


http://news.bbc.co.uk/2/hi/technology/6600965.stm
http://ieet.org/index.php/IEET/more/cascio20070425/
http://www.modha.org/papers/rj10404.pdf which reads in gist:

Neurobiologically realistic, large-scale cortical and sub-cortical simulations 
are bound to play a key role in computational neuroscience and its 
applications to cognitive computing. One hemisphere of the mouse cortex has 
roughly 8,000,000 neurons and 8,000 synapses per neuron. Modeling at this 
scale imposes tremendous constraints on computation, communication, and 
memory capacity of any computing platform. 
 We have designed and implemented a massively parallel cortical simulator with 
(a) phenomenological spiking neuron models; (b) spike-timing dependent 
plasticity; and (c) axonal delays.  
 We deployed the simulator on a 4096-processor BlueGene/L supercomputer with 
256 MB per CPU. We were able to represent 8,000,000 neurons (80% excitatory) 
and 6,300 synapses per neuron in the 1 TB main memory of the system. Using a 
synthetic pattern of neuronal interconnections, at a 1 ms resolution and an 
average firing rate of 1 Hz, we were able to run 1s of model time in 10s of 
real time!


Josh

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SV: [agi] mouse uploading

2007-04-29 Thread Jan Mattsson
Has this approach been successful for any "lesser" animals? E.g.; has anyone 
simulated an insect brain system connected to a simulated insect body in a 
virtual environment? Starting with a mouse brain seems a bit ambitious.

Since I haven't posted on the list before I guess I should introduce myself: 
I'm Jan Mattsson in Stockholm, Sweden. A software developer by profession, I 
first became interested in AI when I read "Gödel Escher Bach - an Eternal 
Golden Braid" many years ago (actually switched from physics to computer 
science because of it). More recently I read Kurzweil's "The Singularity is 
near", that brought me here.

/JanM


-Ursprungligt meddelande-
Från: J. Storrs Hall, PhD. [mailto:[EMAIL PROTECTED]
Skickat: lö 2007-04-28 19:15
Till: agi@v2.listbox.com
Ämne: [agi] mouse uploading
 
In case anyone is interested, some folks at IBM Almaden have run a 
one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene (in 
0.1 real time):

http://news.bbc.co.uk/2/hi/technology/6600965.stm
http://ieet.org/index.php/IEET/more/cascio20070425/
http://www.modha.org/papers/rj10404.pdf which reads in gist:

Neurobiologically realistic, large-scale cortical and sub-cortical simulations 
are bound to play a key role in computational neuroscience and its 
applications to cognitive computing. One hemisphere of the mouse cortex has 
roughly 8,000,000 neurons and 8,000 synapses per neuron. Modeling at this 
scale imposes tremendous constraints on computation, communication, and 
memory capacity of any computing platform. 
 We have designed and implemented a massively parallel cortical simulator with 
(a) phenomenological spiking neuron models; (b) spike-timing dependent 
plasticity; and (c) axonal delays.  
 We deployed the simulator on a 4096-processor BlueGene/L supercomputer with 
256 MB per CPU. We were able to represent 8,000,000 neurons (80% excitatory) 
and 6,300 synapses per neuron in the 1 TB main memory of the system. Using a 
synthetic pattern of neuronal interconnections, at a 1 ms resolution and an 
average firing rate of 1 Hz, we were able to run 1s of model time in 10s of 
real time!

Josh

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Re: [agi] mouse uploading

2007-04-29 Thread Shane Legg

Numbers for humans vary rather a lot.  Some types of cells have up to
200,000 connections (Purkinje neurons) while others have very few.
Thus talking about "the" number of synapses per neuron doesn't make
much sense.  It all depends on which type of neuron etc. you mean.

Anyway, when talking about a global brain average I most often see the
number 1,000.   For rat cortex (which is a bit different to mouse cortex
in terms of thickness and density) I usually see the number 10,000 as
the average (just for cortex, not the whole brain).

Shane


On 4/29/07, Matt Mahoney <[EMAIL PROTECTED]> wrote:


Does anyone know if the number of synapses per neuron (8000) for mouse
cortical cells also apply to humans?  This is the first time I have seen
an
estimate of this number.  I believe the researchers based their mouse
simulation on anatomical studies.

--- "J. Storrs Hall, PhD." <[EMAIL PROTECTED]> wrote:

> In case anyone is interested, some folks at IBM Almaden have run a
> one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene
(in
>
> 0.1 real time):
>
> http://news.bbc.co.uk/2/hi/technology/6600965.stm
> http://ieet.org/index.php/IEET/more/cascio20070425/
> http://www.modha.org/papers/rj10404.pdf which reads in gist:
>
> Neurobiologically realistic, large-scale cortical and sub-cortical
> simulations
> are bound to play a key role in computational neuroscience and its
> applications to cognitive computing. One hemisphere of the mouse cortex
has
> roughly 8,000,000 neurons and 8,000 synapses per neuron. Modeling at
this
> scale imposes tremendous constraints on computation, communication, and
> memory capacity of any computing platform.
>  We have designed and implemented a massively parallel cortical
simulator
> with
> (a) phenomenological spiking neuron models; (b) spike-timing dependent
> plasticity; and (c) axonal delays.
>  We deployed the simulator on a 4096-processor BlueGene/L supercomputer
with
>
> 256 MB per CPU. We were able to represent 8,000,000 neurons (80%
excitatory)
>
> and 6,300 synapses per neuron in the 1 TB main memory of the system.
Using a
>
> synthetic pattern of neuronal interconnections, at a 1 ms resolution and
an
> average firing rate of 1 Hz, we were able to run 1s of model time in 10s
of
> real time!
>
> Josh
>
> -
> This list is sponsored by AGIRI: http://www.agiri.org/email
> To unsubscribe or change your options, please go to:
> http://v2.listbox.com/member/?&;
>


-- Matt Mahoney, [EMAIL PROTECTED]

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Re: [agi] mouse uploading

2007-04-28 Thread Matt Mahoney
Does anyone know if the number of synapses per neuron (8000) for mouse
cortical cells also apply to humans?  This is the first time I have seen an
estimate of this number.  I believe the researchers based their mouse
simulation on anatomical studies.

--- "J. Storrs Hall, PhD." <[EMAIL PROTECTED]> wrote:

> In case anyone is interested, some folks at IBM Almaden have run a 
> one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene (in
> 
> 0.1 real time):
> 
> http://news.bbc.co.uk/2/hi/technology/6600965.stm
> http://ieet.org/index.php/IEET/more/cascio20070425/
> http://www.modha.org/papers/rj10404.pdf which reads in gist:
> 
> Neurobiologically realistic, large-scale cortical and sub-cortical
> simulations 
> are bound to play a key role in computational neuroscience and its 
> applications to cognitive computing. One hemisphere of the mouse cortex has 
> roughly 8,000,000 neurons and 8,000 synapses per neuron. Modeling at this 
> scale imposes tremendous constraints on computation, communication, and 
> memory capacity of any computing platform. 
>  We have designed and implemented a massively parallel cortical simulator
> with 
> (a) phenomenological spiking neuron models; (b) spike-timing dependent 
> plasticity; and (c) axonal delays.  
>  We deployed the simulator on a 4096-processor BlueGene/L supercomputer with
> 
> 256 MB per CPU. We were able to represent 8,000,000 neurons (80% excitatory)
> 
> and 6,300 synapses per neuron in the 1 TB main memory of the system. Using a
> 
> synthetic pattern of neuronal interconnections, at a 1 ms resolution and an 
> average firing rate of 1 Hz, we were able to run 1s of model time in 10s of 
> real time!
> 
> Josh
> 
> -
> This list is sponsored by AGIRI: http://www.agiri.org/email
> To unsubscribe or change your options, please go to:
> http://v2.listbox.com/member/?&;
> 


-- Matt Mahoney, [EMAIL PROTECTED]

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Re: [agi] mouse uploading

2007-04-28 Thread Bob Mottram

When I first saw this on the BBC web site I thought it looked exciting -
maybe the first "upload".  But on closer inspection it seems to be less
impressive.  There is an extremely brief report on what they did, which
looks like merely simulating a large number of neurons on a supercomputer,
without any detailed biological architecture as far as I can tell and no
mention of glial interactions.  Simulating a lot of neurons is an
achievement, and may be a precursor to uploading.

A while back I did some preliminary image processing on the BranMaps data
sets, and it is possible to automatically identify cell bodies and their
processes.  Of course this is still a long way from being able to simulate
what's going on in detail, since the images tell you nothing about the
chemistry.  Some examples are as follows:

http://farm1.static.flickr.com/45/360938915_827b42d493_o.jpg
http://farm1.static.flickr.com/137/360938913_6b7ffb9cbe_o.jpg

These are the denizens of layer 6 of the primate cortex.  Strange looking
creatures indeed.  Not at all like the neat rows of transistors that would
be found on an integrated circuit, or the highly idealised models from
computer science.  The green blobs are cell bodies.  I exchanged a few
emails with the folks at BrainMaps, and the next major step which they
anticipate is scanning the brain slices using lasers to get even higher
accuracy.  This should permit, in the not too distant future (mainly
dependent upon availability of large quantities of hard disk space and a
suitable customised scanner), complete reverse engineering of the physical
architecture of the brain.  There are difficult practical problems, such as
being able to align multiple brain slices with an accuracy sufficient for
the fine processes (dendrites and axons) to line up.

Based upon these discussions I think the first brain upload, for pure
physical architecture at least, may not be as far away as many might
suppose.  For practicality I expect the first creature to be uploaded will
be some small animal, like a mouse or rat.



On 28/04/07, J. Storrs Hall, PhD. <[EMAIL PROTECTED]> wrote:


In case anyone is interested, some folks at IBM Almaden have run a
one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene
(in
0.1 real time):

http://news.bbc.co.uk/2/hi/technology/6600965.stm
http://ieet.org/index.php/IEET/more/cascio20070425/
http://www.modha.org/papers/rj10404.pdf which reads in gist:

Neurobiologically realistic, large-scale cortical and sub-cortical
simulations
are bound to play a key role in computational neuroscience and its
applications to cognitive computing. One hemisphere of the mouse cortex
has
roughly 8,000,000 neurons and 8,000 synapses per neuron. Modeling at this
scale imposes tremendous constraints on computation, communication, and
memory capacity of any computing platform.
We have designed and implemented a massively parallel cortical simulator
with
(a) phenomenological spiking neuron models; (b) spike-timing dependent
plasticity; and (c) axonal delays.
We deployed the simulator on a 4096-processor BlueGene/L supercomputer
with
256 MB per CPU. We were able to represent 8,000,000 neurons (80%
excitatory)
and 6,300 synapses per neuron in the 1 TB main memory of the system. Using
a
synthetic pattern of neuronal interconnections, at a 1 ms resolution and
an
average firing rate of 1 Hz, we were able to run 1s of model time in 10s
of
real time!

Josh

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Re: [agi] mouse uploading

2007-04-28 Thread Benjamin Goertzel

The man issue is, we we still have basically no idea of the patterns
according to which the neurons in the mouse brain are really interconnected,
except in some particular regions ... so semi-randomly hooking up 8 million
(well-simulated individually) neurons is not really simulating half a mouse
brain...

-- Ben G

On 4/28/07, Lukasz Stafiniak <[EMAIL PROTECTED]> wrote:


On 4/28/07, Eugen Leitl <[EMAIL PROTECTED]> wrote:
> On Sat, Apr 28, 2007 at 01:15:13PM -0400, J. Storrs Hall, PhD. wrote:
> > In case anyone is interested, some folks at IBM Almaden have run a
> > one-hemisphere mouse-brain simulation at the neuron level on a Blue
Gene (in
>
> What they did was running a simplified, unrealistic model.

Do you think that Blue Brain is realistic enough? Would you dare to
speculate how simple yet realistic enough model can we arrive at,
given data from experiments and simulations?

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Re: [agi] mouse uploading

2007-04-28 Thread Lukasz Stafiniak

On 4/28/07, Eugen Leitl <[EMAIL PROTECTED]> wrote:

On Sat, Apr 28, 2007 at 01:15:13PM -0400, J. Storrs Hall, PhD. wrote:
> In case anyone is interested, some folks at IBM Almaden have run a
> one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene (in

What they did was running a simplified, unrealistic model.


Do you think that Blue Brain is realistic enough? Would you dare to
speculate how simple yet realistic enough model can we arrive at,
given data from experiments and simulations?

-
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Re: [agi] mouse uploading

2007-04-28 Thread Eugen Leitl
On Sat, Apr 28, 2007 at 01:15:13PM -0400, J. Storrs Hall, PhD. wrote:
> In case anyone is interested, some folks at IBM Almaden have run a 
> one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene (in 

What they did was running a simplified, unrealistic model. It's still
a great spiking code AI benchmark, given that #1 of Top 500 has 16x
the performance, putting it into one realtime mouse, assuming (a
rather large if) country, or at least about eight slow mice.
Or one equally slow Algernon.

> 0.1 real time):

Despite 125 us latency (thanks, Sony, for virtualizing even the bloody
GBit Ethernet, and even more so for locking us out from the nVidia
chip, and the entire video memory) PS3 looks like a great system for 
garage AI:

http://www.netlib.org/utk/people/JackDongarra/PAPERS/scop3.pdf

The nodes are power-hungry, but 65 nm structure shrink has already occured,
so second-generation PS3's can be quite interesting.

Of course, one could always wait for Barcelona, not many months away now.

-- 
Eugen* Leitl http://leitl.org";>leitl http://leitl.org
__
ICBM: 48.07100, 11.36820 http://www.ativel.com http://postbiota.org
8B29F6BE: 099D 78BA 2FD3 B014 B08A  7779 75B0 2443 8B29 F6BE

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[agi] mouse uploading

2007-04-28 Thread J. Storrs Hall, PhD.
In case anyone is interested, some folks at IBM Almaden have run a 
one-hemisphere mouse-brain simulation at the neuron level on a Blue Gene (in 
0.1 real time):

http://news.bbc.co.uk/2/hi/technology/6600965.stm
http://ieet.org/index.php/IEET/more/cascio20070425/
http://www.modha.org/papers/rj10404.pdf which reads in gist:

Neurobiologically realistic, large-scale cortical and sub-cortical simulations 
are bound to play a key role in computational neuroscience and its 
applications to cognitive computing. One hemisphere of the mouse cortex has 
roughly 8,000,000 neurons and 8,000 synapses per neuron. Modeling at this 
scale imposes tremendous constraints on computation, communication, and 
memory capacity of any computing platform. 
 We have designed and implemented a massively parallel cortical simulator with 
(a) phenomenological spiking neuron models; (b) spike-timing dependent 
plasticity; and (c) axonal delays.  
 We deployed the simulator on a 4096-processor BlueGene/L supercomputer with 
256 MB per CPU. We were able to represent 8,000,000 neurons (80% excitatory) 
and 6,300 synapses per neuron in the 1 TB main memory of the system. Using a 
synthetic pattern of neuronal interconnections, at a 1 ms resolution and an 
average firing rate of 1 Hz, we were able to run 1s of model time in 10s of 
real time!

Josh

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