Principal result (AAM). This dissertation presents an Artificial Associative Memory (AAM) which can learn pattern-associations and retrieve them with changeable attention. The attention refers to the fact that the user can specify any subset of the elements in the example query …
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This thesis is concerned with one important question in artificial neural networks, that is, how biologically inspired connectivity of a network affects its associative memory performance. In recent years, research on the mammalian cerebral cortex, which has the main responsibil…
In this thesis we use computational neural network models to examine the dynamics and functionality of the CA3 region of the mammalian hippocampus. The emphasis of the project is to investigate how the dynamic control structures provided by inhibitory circuitry and cellular modi…