Abstract
I propose how symbols in the brain could be implemented as spatiotemporal patterns of spikes. A neuron implements a re-write rule; firing when it observes a particular symbol and writing a particular symbol back to the neuronal circuit. Then I show how an input/output function mapped by a neuron can be copied. This permits a population of neuron-based rules to evolve in the brain. We are still very far from understanding how FCG could be implemented in the brain; however, understanding how a basic physical symbol system could be instantiated is a foundation for further work.
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Fernando, C. (2012). Fluid Construction Grammar in the Brain. In: Steels, L. (eds) Computational Issues in Fluid Construction Grammar. Lecture Notes in Computer Science(), vol 7249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34120-5_13
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DOI: https://doi.org/10.1007/978-3-642-34120-5_13
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