Toward tractable AGI: Challenges for System Identification in Neural Circuitry (Koene)

Added by Deon Garrett about 7 years ago

Feasible and practical routes to Arti ficial General Intelligence involve short-cuts tailored to environments and challenges. A prime example of a system with built-in short-cuts is the human brain. Deriving from the brain the functioning system that implements intelligence and generality at the level of neurophysiology is interesting for many reasons, but also poses a set of specifi c challenges. Representations and models demand that we pick a constrained set of signals and behaviors of interest. The systematic and iterative process of model building involves what is known as System Identification, which is made feasible by decomposing the overall problem into a collection of smaller System Identi fication problems. There is a roadmap to tackle that includes structural scanning (a way to obtain the "connectome") as well as new tools for functional recording. We examine the scale of the endeavor, and the many challenges that remain, as we consider specifi c approaches to System Identifi cation in neural circuitry.

paper_71.pdf (462 kB)


Replies (2)

RE: Toward tractable AGI: Challenges for System Identification in Neural Circuitry (Koene) - Added by Nathaniel Peter 8 months ago

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RE: Toward tractable AGI: Challenges for System Identification in Neural Circuitry (Koene) - Added by Lloyd MClay about 1 month ago

I am doing a medical degree and recently I have got an essay on Neural Circuitry. So, I was reading about it on the www.resumesservicesreview.com/livecareer-com-review website. But still, I can’t gather enough information about Neural Circuitry. Then I have found your post in which you have briefly explained about Neural Circuitry. Thanks for sharing about Neural Circuitry.

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