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

Added by Deon Garrett over 5 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)

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