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Verification of Temporal Properties of Neuronal Archetypes Using Synchronous Models

Abstract : There exists many ways to connect two, three or more neurons together to form different graphs. We call archetypes only the graphs whose properties can be associated with specific classes of biologically relevant structures and behaviors. These archetypes are supposed to be the basis of typical instances of neuronal information processing. To model different representative archetypes and express their temporal properties, we use a synchronous programming language dedicated to reactive systems (Lustre). The properties are then automatically validated thanks to several model checkers supporting data types. The respective results are compared and depend on their underlying abstraction methods.
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Contributor : Annie Ressouche Connect in order to contact the contributor
Submitted on : Tuesday, July 26, 2016 - 3:37:13 PM
Last modification on : Wednesday, October 26, 2022 - 8:14:26 AM


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  • HAL Id : hal-01349019, version 1


Elisabetta de Maria, Alexandre Muzy, Daniel Gaffé, Annie Ressouche, Franck Grammont. Verification of Temporal Properties of Neuronal Archetypes Using Synchronous Models. [Research Report] RR-8937, UCA, Inria; UCA, I3S; UCA, LEAT; UCA, LJAD. 2016, pp.21. ⟨hal-01349019⟩



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