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A general model of hippocampal and dorsal striatal learning and decision making (Geerts et al 2020)
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Accession:
266836
Python and Cython implementation of a dual-systems reinforcement learning model that solves navigation and decision tasks using model-free and successor representation strategies. For questions, please contact jesse.geerts.14@ucl.ac.uk.
Reference:
1 .
Geerts JP, Chersi F, Stachenfeld KL, Burgess N (2020) A general model of hippocampal and dorsal striatal learning and decision making.
Proc Natl Acad Sci U S A
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Python;
Cython;
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Action Selection/Decision Making;
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HEAD
*
Other models using HEAD:
Adaptive dual control of deep brain stimulation in Parkinsons disease simulations (Grado et al 2018)
Current Dipole in Laminar Neocortex (Lee et al. 2013)
Dendritic Discrimination of Temporal Input Sequences (Branco et al. 2010)
Distributed computing tool for NEURON, NEURONPM (screensaver) (Calin-Jageman and Katz 2006)
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Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
Optimal synaptic assignment for locomotory behavior in C. elegans (Rakowski & Karbowski 2017)
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Optimal synaptic assignment for locomotory behavior in C. elegans (Rakowski & Karbowski 2017)
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Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)
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Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017)
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