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Quote: a neuron net has stable limit points like an Ising model; phase space is dominated by attractors that represent memories
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artificial neuron nets
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The [neuron net] model has stable limit points [because can define a monotonically decreasing energy function for symmetric connection weights] … This case is isomorphic with an Ising model. … [For example, a random, 30 neuron net usually settled into two or three end states after a time of about 4/W] … [p. 2557] The phase space flow is apparently dominated … it. The flow is not entirely deterministic, and … it most resembles. Google-1 Google-2
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Topic: artificial neuron nets (29 items)