Tag: Devices

Hao Chen lab, UTHSC – openBehavior repository

The openBehavior github repository from Hao Chen’s lab at UTHSC aims to establish a computing platform for rodent behavior research using the Raspberry Pi computer. They have built several devices for conducting operant conditioning and monitoring environmental data.

The operant licking device can be placed in a standard rat home cage and can run fixed ratio, various ratio, or progressive ratio schedules. A preprint describing this project, including data on sucrose vs water intake is available. Detailed instructions for making the device is also provided.

The environment sensor can record the temperature, humidity, barometric pressure, and illumination at fixed time intervals and automatically transfer the data to a remote server.

There is also a standard alone RFID reader for the EM4100 implantable glass chips, a motion sensor addon for standard operant chambers, and several other devices.

Nose-Poke System – Kelly Tan Research Group

The Kelly Tan research group at the University of Basel, Switzerland investigates the neural correlates of motor behavior, focusing on the role of the basal ganglia in controlling various aspects of motor actions. To aid in their investigation, the group has developed an open-source nose-poke system utilizing an Arduino microcontroller, several low-cost electronic components, and a PVC behavioral arena. These researchers have shared the following information about the project:

Giorgio Rizzi, Meredith E. Lodge, Kelly R Tan.
MethodsX 3 (2016) 326-332
Operant behavioral tasks for animals have long been used to probe the function of multiple brain regions. The recent development of tools and techniques has opened the door to refine the answer to these same questions with a much higher degree of specificity and accuracy, both in biological and spatial-temporal domains. A variety of systems designed to test operant behavior are now commercially available, but have prohibitive costs. Here, we provide a low-cost alternative to a nose poke system for mice. Adapting a freely available sketch for ARDUINO boards, in combination with an in-house built PVC box and inexpensive electronic material we constructed a four-port nose poke system that detects and counts port entries.
  • We provide a low cost alternative to commercially available nose poke system.
  • Our custom made apparatus is open source and TTL compatible.
  • We validate our system with optogenetic self-stimulation of dopamine neurons in mice.

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The Kelly Tan research group provides further documentation for this device, including SketchUp design files, Arduino source code, and a full bill of materials, as supplementary data in their 2016 paper.

Lickometer – Feldman Lab

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Brian Isett, a graduate researcher in the Feldman Lab at UC Berkeley writes, “Measuring licks using a lickometer can provide an intuitive and simple signal for scientists studying many aspects of rodent behavior.  Commercial lickometers are often bulky and expensive, easily costing a few hundred dollars. In the Feldman Lab, we designed a small and inexpensive lickometer with parts costing less than $20. The lickometer employs an infrared beam and sensor to minimize electrical noise artifacts during neurophysiology experiments and can be easily mounted in a micromanipulator for precise and repeatable positioning.
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This open-source lickometer was designed in conjunction with an open-source water delivery system.  Together, these provide the basic hardware for a DIY behavioral assay and reward system for mice.”

Feeding Experimentation Device (FED)

WP_20160320_003Feeding Experimentation Device (FED) is a home cage-compatible feeding system that measures food intake with high accuracy and temporal resolution. FED offers a low-cost alternative (~$350) to commercial feeders, with the convenience of use in tradition colony rack caging.

In their 2016 paper, “Feeding Experimentation Device (FED): A flexible open-source device for measuring feeding behavior,” Katrina P. Nguyen, Timothy J. O’Neal, Olurotimi A. Bolonduro, Elecia White, and Alexxai V. Kravitz validate the reliability of food delivery and precise measurement of feeding behavior provided by FED, as well as, demonstrate the application of FED in an experiment examining light and dark-cycle feeding trends, and another measuring optogenetically-evoked feeding.

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KravitzLab has shared the Arduino scripts for controlling FED, as well as, the python code used to analyze the feeding data collected by FED on the KravitzLab Github. Additionally, build instructions and power considerations are detailed on the FED Wiki page and 3D Design Files provided through TinkerCAD.


Nguyen, Katrina; O’Neal, Timothy; Bolonduro, Olurotimi; White, Elecia; Kravitz, Alexxai (2016). Feeding Experimentation Device (FED): A flexible open-source device for measuring feeding behavior. J Neurosci Methods, 267:108-14.