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NPL
2002

Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics

9 years 27 days ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded response units approach and the stochastic, Glauber-inspired model with a random field representing thermal fluctuations. This is done by casting the retrieval process of the model with graded response neurons, into the framework of a diffusive process governed by the Fokker-Plank equation, which leads to a Langevin system describing the process at a microscopic level, while the time evolution of the probability density function is governed by a multivariate Fokker Planck equation operating over the space of all possible activation patterns. The present unified approach has two notable features: (i) greater biological plausibility and (ii) ability to escape local minima of energy (associated with spurious memories), which makes it a potential tool for those complex optimization problems for which the previous mod...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where NPL
Authors Enrique Carlos Segura Meccia, Roberto P. J. Perazzo
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