model for general artificial intelligence in today's deep-learning and computational neroscience community

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I've follwed recent DL's proceed from NIPS. Although i haven't track what happens in Computational Neuroscience(CN)'s field.

But I wonder why so little work about general artificial intellgence(GAI)?for example, kinds of network of hebbian to build all supervised/unsupervised/Reinforcement learning.

Or Can anyone tell me what's the state of art about neural networks for GAI, from CN field?Or some review?

Thanks a lot!

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Albert On

All three fields, Deep Learning (e.g. what you read at NIPS), Artificial general intelligence (AGI) and Computational Neuroscience are separate fields with some overlap but not too much overlap.

A question like 'what is the state-of-the-art' cannot really be answered in such a general form and would also soon be outdated. You have to be more specific. But just check some sources in the specific field. Wikipedia might be a good start.