> Yeap, there's well developed theories about how an autoassociate > network like CA3 could support multiple, uncorrelated attractor > maps and sustain activity once one of them was activated. The > big debate is about how they are formed.
The standard way attractors are formed in formal ANN theory is via variants of Hebbian learning. But pure unsupervised Hebbian learning has never worked very well in simulations. In the CS theory of reinforcement learning, a lot of tricks have been used to make Hebbian learning work better (temporal difference learning, for example), but none of these work that awesomely. > Raw data is usually acquired at 50+ Khz, and then the spikes are > identified as to which neuron they belong to and are stored in a > reduced form (ie spike X of neuron Y occurs at time T) Do you think the spike-time data contains enough information that it's not necessary to look for patterns in the raw data? > If there is decent time series data, it could be interesting to > > codevelop a grant application with someone to see what > Novamente can find in > > this data.... > > Very interesting idea. The lab with most of this data is the > McNaughton lab in Arizona. They are somewhat reluctant to give > it out though, because of the money and time investment in > collecting it. It would be very cool if Novamente could be > applied to it though. I'll put the idea in the queue, and maybe contact those people after we have a publication out on the application of Novamente to time series analysis in genetics. > One of the limitations that strikes me is that of dimensionality. > I used to spend time while driving on road trips trying to think > in 4-dimensions in a similar way that I can visualize 3-d. I > just couldn't get it to work well. The best I could come up with > was layers of 3-d representations with 1 feature varying. This > is an excellent example of how powerful our minds are at certain > kinds of computation, but limited outside of our innate domains. To beef up your 4D visualization skills, try the 4D Rubik's Cube. Pretty cool if you ask me ;-) http://www.superliminal.com/cube/cube.htm -- Ben G ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
