Unraveling cognitive traits using the Morris water maze unbiased strategy classification (MUST-C) algorithm

Highlights • The MUST-C tool extends the capacity to assess spatial navigation in the MWM. • A spatial cognitive scoring system enables quantifying an animal’s spatial IQ. • A spatial resolution limit on the cognitive capacity in mice is proposed. • MUST-C effectively analyzes cognitive capacity in...

Full description

Saved in:
Bibliographic Details
Published in:Brain, behavior, and immunity behavior, and immunity, 2016-02, Vol.52, p.132-144
Main Authors: Illouz, Tomer, Madar, Ravit, Louzon, Yoram, Griffioen, Kathleen J, Okun, Eitan
Format: Article
Language:English
Subjects:
Algorithms
Allergy and Immunology
Animals
Cognition - physiology
Cognitive score
Hippocampus
Hippocampus - physiology
Learning and memory
Machine learning
Male
Maze Learning - physiology
Memory - drug effects
Mice
Mice, Inbred C57BL
Mice, Transgenic
Morris water maze
Psychiatry
Space Perception - physiology
Spatial learning
Spatial Learning - physiology
Spatial resolution
Strategy
Support Vector Machine
SVM
Swimming - physiology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Highlights • The MUST-C tool extends the capacity to assess spatial navigation in the MWM. • A spatial cognitive scoring system enables quantifying an animal’s spatial IQ. • A spatial resolution limit on the cognitive capacity in mice is proposed. • MUST-C effectively analyzes cognitive capacity in TLR2, 3, 4 and IRF3 −/− mice.
ISSN:0889-1591
1090-2139
DOI:10.1016/j.bbi.2015.10.013