Abstract
We derive Thouless-Anderson-Palmer (TAP) equations and order parameter equations for stochastic analog neural network models with fluctuating synaptic couplings. Such systems with finite number of neurons originally have no energy concept. Thus they defy the use of the replica method or the cavity method, which require the energy concept. However for some realizations of synaptic noise, the systems have the effective Hamiltonian and the cavity method becomes applicable to derive the TAP equations.
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Ichiki, A., Shiino, M. (2008). Thouless-Anderson-Palmer Equation for Associative Memory Neural Network Models with Fluctuating Couplings. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69158-7_11
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DOI: https://doi.org/10.1007/978-3-540-69158-7_11
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