Abstract:Computational modeling of neurodynamical systems often deploys neural networks and symbolic dynamics. One particular way for combining these approaches within a framework called vector symbolic architectures leads to neural automata. An interesting research direction we have pursued under this framework has been to consider mapping symbolic dynamics (e.g. performed by Turing machines) onto neurodynamics, represented as neural automata. This representation theory, enables us to ask questions, such as, how does … Show more
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