New paper exploring how to build principled, causal connections between symbolic phase codes for syntax and probabilistic/connectionist mechanisms. Natural language syntax can serve as a major test for how to integrate two infamously distinct frameworks: symbolic representations and connectionist neural networks. Building on a recent neurocomputational architecture for syntax (ROSE), I discuss the prospects of

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