Refining training of non-human primates using automated home room training systems

Traditionally, the process of training non-human primates (NHPs) on cognitive tasks takes place in the laboratory. This involves removing the NHP from the comfort of their home room, and social group, for training each day. NHPs then perform tasks in a confined testing chair, placing restrictions on their mobility for the duration of the session and also limiting the types of behaviours that can be explored. This process can increase stress levels for the NHP. Furthermore, the laboratory-based training schedule is dictated by the experimenter, with NHPs typically only trained for 1-2 hours/day, 4-5 days/week, prolonging the training process and exacerbating these welfare concerns.

To overcome these issues, we recently developed the Mymou (Greek for "monkey", pronounced my-moo) system, a low-cost home room training system for NHPs (Butler & Kennerley, 2018). The wireless device runs continuously and automatically all-day including weekends, allowing NHPs to perform tasks in their own home room at their own leisure and comfort. This eliminates any need to place restrictions on the NHP's movement, including head restraint, or to remove them from the security of their home room, for the training process. Furthermore, the system uses a camera to snap a 'selfie' of the NHP for each trial they start. This selfie is run through a custom monkey facial recognition algorithm we developed that is capable of accurately identifying NHPs with >99% accuracy. This enables NHPs in the same cage to be trained without needing to be separated from one another. Mymou is therefore a significant refinement for the training process.

Furthermore, the constant availability of Mymou in the home room enables NHPs to complete many more trials per week relative to training in the lab, refining the training process by reducing the overall time the NHP spends under protocol. This enables researchers to train NHPs on more diverse and sophisticated tasks, thereby allowing the experimenter to obtain higher quality data whilst potentially reducing the total number of NHPs needed to address their scientific aims.

Having now successfully refined NHP training procedures at University College London, this project will repeat this in the other UK NHP neuroscience research centres (Oxford, Cambridge, and Newcastle Universities). For the 8 end users we will develop a personalised cognitive task(s) relevant to their research, spanning a range of tasks exploring attention, memory, learning and decision-making processes. We will then install these personalised systems in each centre, and provide training on how to use the device. This will enable home room training, and the refinements this provides, for 26-36 NHPs across the 3 centres.

An important aim of this project is to also encourage adoption of home room training by the wider NHP community. This project will produce a suite of standardised training and cognitive tasks that are used across the varied domain of NHP behavioural research, allowing users the flexibility to explore how their NHPs perform on different tasks. This will help optimize individual training regimens and also aid in assigning NHPs to projects they are best suited for.

All of these resources will be made publicly available online in our actively maintained repository, providing a rich foundation of information to help NHP researchers get started with home room training. Furthermore, encouraging home room training across the UK will generate a critical mass of users to help encourage the wider community. The results from this project will be publicised through many channels (e.g. conferences, press releases, scientific papers), which will help encourage the adoption of home room training worldwide, therefore providing a refinement and reduction to NHP research across the entire community.

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Skills and Knowledge Transfer grant



Principal investigator

Dr Steven Kennerley


University College London


Dr James Butler

Grant reference number


Award date:

Sep 2019 - Aug 2020

Grant amount