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 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Python; Cython;
Model Concept(s): Action Selection/Decision Making;
Implementer(s):
/
hippocampus-dls
.git
hooks
applypatch-msg.sample *
commit-msg.sample *
fsmonitor-watchman.sample *
post-update.sample *
pre-applypatch.sample *
pre-commit.sample
prepare-commit-msg.sample *
pre-push.sample *
pre-rebase.sample *
pre-receive.sample *
update.sample *
                            
#!/bin/sh
#
# An example hook script to verify what is about to be committed
# by applypatch from an e-mail message.
#
# The hook should exit with non-zero status after issuing an
# appropriate message if it wants to stop the commit.
#
# To enable this hook, rename this file to "pre-applypatch".

. git-sh-setup
precommit="$(git rev-parse --git-path hooks/pre-commit)"
test -x "$precommit" && exec "$precommit" ${1+"$@"}
: