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I am working on a hierarchical predictive spatio-spectro-temporal pattern model, which uses convolution-like patterns that use time and frequency of spikes, whe
by amthewiz 9y ago
I am working on a hierarchical predictive spatio-spectro-temporal pattern model, which uses convolution-like patterns that use time and frequency of spikes, where each spike indicates a pattern 'match'. Patterns evolve over time from weak, non-specific (in space, time and frequency) preferences to strong, specific preferences. I think this approach has the potential to become the substrate on which we could build general AI.
I am very curious to know what labs/companies are using this approach.
- nairboon 9y agoCould you point to some papers about that model?
- amthewiz 9y agoNo papers yet, still in (early) implementation/experimentation phase. Currently surveying research about minimal sentience/consciousness exhibited by animals and corresponding neural correlates. If there is enough data to isolate functional basics of minimal consciousness, I would like to implement that as the first "function" of the HTM model. See this blog post for why I chose consciousness as the primitive to build (instead of say demoing the model's characteristics on common tasks like mnist digit recognition) - https://medium.com/creating-artificial-consciousness/the-case-for-artificial-consciousness-1aed97ba1670 https://medium.com/creating-artificial-consciousness/the-cas...
- tmzt 9y agoSomething like a small rodent or sufficiently intelligent cockroach wondering around in OpenAI?