Discrimination learning without human intervention or food restriction

Discrimination learning without human intervention or food restriction

Posted by Gonny Smit on Thu 15 Dec. 2016 - 2 minute read

Learning paradigms have long been the hallmark in studies on neurological and psychiatric disorders, but they often present challenges and come with limitations. For example, many of these tasks require some combination of food restrictions, handling of the animals, and/or are quite labor-intensive. Sylics recently introduced a new paradigm, called CognitionWall, that you might have already seen on our website, and aims to get around some of these limitations.

Home cage protocols

So for those of you not familiar with CognitionWall yet, it’s an automated home cage testing protocol for discrimination learning and reversal learning. It is designed to work with PhenoTyper, EthoVision XT, and AHCODA.

The protocol Esther designed involves two days of discrimination learning, followed by two days of reversal learning. The elegance of this protocol lies within the lack of limitations: there is no human intervention, nor is there a need for pre-imposed food restriction.

Get rewarded

In addition, the CognitionWall itself is a very straight-forward tool: a wall placed in one corner of the home cage, in front of a pellet dispenser, with three holes in it. Mice stay in their home cage for the entire testing period, and simply learn to earn their food by accessing the correct hole in the wall; in this initial study, the mouse learned to go through the right-most hole.

top view of cognitionwall in phenotyper

No intervention

The video camera in the top unit of the PhenoTyper is connected to EthoVision XT software, allowing for constant location-based monitoring of the animal. This way, the activity and whereabouts of the mouse is automatically measured, and when entering the correct wall, EthoVision XT sends out a signal to the pellet dispenser to deliver the automated food reward.

FREE TRIAL: Try EthoVision XT yourself!

Request a free trial and find out what EthoVision XT can do for your research!

  • A cost-effective solution
  • Powerful data selection
  • Most cited video tracking system

Getting it right

Over two days, discrimination learning is assessed by how often the animal “gets it right” and enters through the correct hole in the CognitionWall. Over the following two days, reversal learning is studied, simply by changing the “correct entry” to a different hole.


To validate this new method, Esther tested performance using  a common mouse model for Alzheimer’s disease (APP/PS1) and brain lesions (orbitofrontal cortex manipulations) that are known to underlie flexible stimulus-reinforcement learning.

While the Alzheimer’s mice showed difficultly learning during the discrimination phase (compared to wild type mice), no such difference was found between the brain-lesioned mice and their sham-lesioned littermates. However, during the reversal phase, the brain-lesioned mice did show significantly more trouble learning the new correct entry.

Esther’s study shows that CognitionWall offers a sensitive and also very elegant and accessible new method to test discrimination learning in mice.

For more information on PhenoTyper, go to www.noldus.com/phenotyper. Did you know PhenoTyper is fully customizable to your study, simply by picking four different walls to create the cage you need? Watch the video below for some examples!

phenotyper setup with walls

Don't miss out on the latest blog posts
Share this post
Relevant Blogs

Home cage behavior and epilepsy in the Stargazer mutant mouse

Using long-term home cage behavioral research, scientists successfully created a behavioral characterization of Stargazer mutant mouse, a model often used in epilepsy research.

Using several behavioral tests to investigate the role of the NR1 gene in schizo

Studies of the mental disorder schizophrenia in lab animals often include behavioral tests to investigate social behavior, cognitive abilities, and motor functioning.

Plants with more linalool smell good, but taste bad

Plant volatiles play an important role in the interaction between plants and insects that eat them. Insect damage very often induces plants to produce volatiles.