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Detailed analysis of trajectories in the Morris water maze (Gehring et al. 2015)
 
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Citations
Accession:
185090
MATLAB code that can be used for detailed behavioural analyzes of the trajectories of animals be means of a semi-supervised clustering algorithm. The method is applied here to trajectories in the Morris Water Maze (see Gehring, T. V. et al., Scientific Reports, 2015) but the code can easily be adapted to other types experiments. For more information and the latest version of the code please refer to https://bitbucket.org/tiagogehring/mwm_trajectories
Reference:
1 .
Gehring TV, Luksys G, Sandi C, Vasilaki E (2015) Detailed classification of swimming paths in the Morris Water Maze: multiple strategies within one trial.
Sci Rep
5
:14562
[
PubMed
]
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:
MATLAB;
Model Concept(s):
Methods;
Implementer(s):
/
gehring2015
extern
cm_and_cb_utilities
export_fig
GUILayout
legendflex
my_corrplot
sigstar
weka
arrow.m
distanceEllipsePoints.m
dpsimplify.m
iff.m
license.txt
parseArgs.m
*
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process_options.m
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shadedErrorBar.m
subaxis.m
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txt2mat.m
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