Models that contain the Implementer : Girard, Benoit [girard at isir.upmc.fr]

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    Models   Description
1.  A contracting model of the basal ganglia (Girard et al. 2008)
Basal ganglia model : selection processes between channels, dynamics controlled by contraction analysis, rate-coding model of neurons based on locally projected dynamical systems (lPDS).
2.  Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
We studied the physiology and function of the basal ganglia through the design of mean-field models of the whole basal ganglia. The parameterizations are optimized with multi-objective evolutionary algorithm to respect best a collection of numerous anatomical data and electrophysiological data. The main outcomes of our study are: • The strength of the GPe to GPi/SNr connection does not support opposed activities in the GPe and GPi/SNr. • STN and MSN target more the GPe than the GPi/SNr. • Selection arises from the structure of the basal ganglia, without properly segregated direct and indirect pathways and without specific inputs from pyramidal tract neurons of the cortex. Selection is enhanced when the projection from GPe to GPi/SNr has a diffuse pattern.
3.  Speed/accuracy trade-off between the habitual and the goal-directed processes (Kermati et al. 2011)
"This study is a reference implementation of Keramati, Dezfouli, and Piray 2011 that proposed an arbitration mechanism between a goal-directed strategy and a habitual strategy, used to model the behavior of rats in instrumental conditionning tasks. The habitual strategy is the Kalman Q-Learning from Geist, Pietquin, and Fricout 2009. We replicate the results of the first task, i.e. the devaluation experiment with two states and two actions. ..."

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