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Showing 1 to 1 of 1 for “"Computaional neuroscience"”.
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Dynamics of adaptive recurrent neural networks
In this thesis a simple, phenomenological model of a neural network with plasticity is presented in the form of a slow-fast adaptive dynamical recurrent neural network. The plasticity rule is chosen from the class of Hebbian learning rules, in which the synaptic connection between two neurons …