Advanced search
User account
Login
Register
Find models by
Model name
First author
Each author
Find models for
Brain region
Concept
Find models of
Realistic Microcircuits
Connectionist Networks
Detailed analysis of trajectories in the Morris water maze (Gehring et al. 2015)
 
Download zip file
Help downloading and running models
Model Information
Model File
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
]
Citations
Citation Browser
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
config
data_representation
extern
features
gui
import
results
utility
readme.txt
.gitignore
cache_animals.m
cache_trajectories.m
cache_trajectories_classification.m
cache_trajectory_segments.m
cluster_to_class.m
clustering_cv_results.m
clustering_entropy.m
clustering_purity.m
clustering_results.m
confusion_matrix.m
copy_tags.m
export_trajectory_segments.m
initialize.m
plot_distribution_strategies.m
plot_trajectory.m
plot_trajectory_segment.m
plot_trajectory_segments.m
segment_classes_distribution.m
semisupervised_clustering.m
tag.m
trajectories.m
trajectory.m
trajectory_segmentation_constant_len.m
trajectory_simplify_impl.m
File not selected
<- Select file from this column.