Re: [agi] The emergence of probabilistic inference from hebbian learning in neural nets

Ben, Some comments to this interesting article: *. S = space of formal synapses, each one of which is identified with a pair (x,y), with x Î N and y ÎNÈS. Why not x ÎNÈS? *. outgoing: N à S* and incoming: N - S* Don't you want them to cover higher-order synapses? *. standard neural net

RE: [agi] The emergence of probabilistic inference from hebbian learning in neural nets

Pei, Thanks for your thoughtful comments! Here are some responses... - *. S = space of formal synapses, each one of which is identified with a pair (x,y), with x Î N and y ÎNÈS. Why not x ÎNÈS? - No strong reason -- but, I couldn't see a need for that degree of generality in