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Conference Papers Year : 2020

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.
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Dates and versions

hal-02652244 , version 1 (02-06-2020)

Identifiers

  • HAL Id : hal-02652244 , version 1

Cite

Valentin Iovene, Demian Wassermann. Probabilistic Programming in neurolang: Bridging the Gap Between Cognitive Science and Statistical Modeling. 2020 OHBM - Annual Meeting of Organization for Human Brain Mapping, Jun 2020, Remote due to Covid-19, France. ⟨hal-02652244⟩
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