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

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 neura