Probabilistic Programming in neurolang: Bridging the Gap Between Cognitive Science and Statistical Modeling
Abstract
Adopting a language-oriented programming approach, we design a declarative and probabilistic domain-specific language (DSL) for formulating and testing sophisticated brain mapping hypotheses that benefit from mined meta-analysis and neuroanatomical data.
Origin : Files produced by the author(s)
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