Hi Steve,

The last link is most interesting. I have been following the DARPA
SyNAPSE program
output for a while but these new announcements are exciting news.

IBM has created silicon that uses 1272 ASIC gates to create a model of a leaky
integrate-and-fire (LIF) neuron. The current chip has 256-neuron,
64k/256k-synapse neurosynaptic cores in 45nm silicon. The leaky model with
a constant leak is described by five basic operations: 1. synaptic
integration, 2. leak integration, 3. threshold,
4. spike firing, and 5. reset. With that model a programmer can create
higher level constructs. It looks flexible enough that I could imagine
using something like this as an accelerator to the CLA. It's clear to me
that the CLA we are working with now in VonNumann software will be soon run
on neuromorphic co-processor hardware. This is something to keep in mind as
we build out the CLA and HTM codebase - how will we accelerate in hardware
and how can we keep a migration path open for the models we invest in
without loosing that investment?

Whitepapers here:
http://www.research.ibm.com/software/IBMResearch/multimedia/IJCNN2013.neuron-model.pdf
http://www.research.ibm.com/software/IBMResearch/multimedia/IJCNN2013.corelet-language.pdf
http://www.research.ibm.com/software/IBMResearch/multimedia/IJCNN2013.algorithms-applications.pdf


On Thu, Aug 8, 2013 at 12:15 AM, Steven Oberlin <[email protected]> wrote:

> You guys see these?
>
> 1) Video:  Sleep as a way to restore/maintain neural plasticity; a lesson
> here about the potential value of adjusting pegged permanence values back
> toward threshold from time to time?
>
>
> http://www.scientificamerican.com/article.cfm?id=sleep-brains-way-staying-balance-video-giulio-tononi
>
> 2) Video:  Researchers publish papers in Nature on "connectome" of
> portions of rat and fruit fly retinas and another describing decoding
> motion detection specialization of fruit fly neurons.  Jeff has blogged
> about sparse lessons to be learned from merely mapping connections.  Makes
> for pretty pictures, but perhaps better illustrates daunting complexity
> arising from a paucity of theory.  The motion detection paper seems to
> offer more, but I don't have a Nature subscription.
>
> http://www.nature.com/news/visual-neurons-mapped-in-action-1.13520
>
> 3) Video:  IBM researchers brainstormed applications of low-power,
> high-density neuromorphic silicon, funded by DARPA SyNAPSE program.  (I
> found myself trying to read the displays in the background that the
> presenter *wasn't* describing…)
>
>
> http://www.engadget.com/2013/08/08/ibm-research-reveals-new-silicon-chip-foundation
>
> -Steve O.
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