The Laubach Lab at American University investigates executive control and decision making, focusing on the role of the prefrontal cortex. Through their GitHub repository, these researchers provide 3D print files for many of the behavioral devices used in their lab, including a Nosepoke and a Lickometer designed from rats. The repository also includes a script that reads MedPC files into Python in a usable way.
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 buillt several devices for conducting operant conditioning and monitoring enviornmental 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.
WaveSurfer is an open-source application for neurophysiology data acquisition and analysis. The program is based in MatLab, and evolved from an earlier open-source software package called Ephus. WaveSurfer is currently pre-release, but can be downloaded from the WaveSurfer Webpage or the WaveSurfer GitHub Repository.
The project was initiated by the Svoboda Lab, and developed as a collaborative effort between several research groups at the Howard Hughes Medical Institute’s Janelia Research Campus. Janelia is a major proponent of collaboration and open-science, providing documentation for dozens of tools and innovations developed on their campus through their webpage, including several tools specific to behavioral neuroscience research.
Timothy Murphy and his colleagues at the University of British Columbia have developed an automated system for mesoscopic functional imaging that allows subjects to self-initiate head-fixation and imaging within the home-cage. In their 2016 paper, “High-throughput automated home-cage mesoscopic functional imaging of mouse cortex,” Dr. Murphy and his colleagues present this device and demonstrate its use with a group of calcium indicator transgenic mice. The supplementary material to this paper includes a diagram of the hardware, a graphic representation of the training cage, several videos of subjects interacting with the device and sample imaging data. The Python source code and 3D print files can be found on Dr. Murphey’s UBC webpage.
Murphy, T. H., Boyd, J. D., Bolaños, F., Vanni, M. P., Silasi, G., Haupt, D., & LeDue, J. M. (2016). High-throughput automated home-cage mesoscopic functional imaging of mouse cortex. Nature Communications, 7, 11611.
- 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.
ArduiPod Box is a simple, comprehensive touchscreen-based operant conditioning chamber that utilizes an iPod Touch in conjunction with an Arduino microcontroller to present visual and auditory stimuli, record behavior in the form of nose-pokes or screen touches, and deliver liquid reward. In his 2014 paper, Oskar Pineño introduces ArduinoPod Box and demonstrates the use of the device in a visual discrimination task.
ArduiPod Box relies on an open-source iOS app named Shaping that can be downloaded for free at the iTunes store, as well as, on Dr. Pineno’s website. Detailed instructions for assembly of the ArduiPod Box are also detailed on the website. In addition, video demonstrating of ArduiPod can be found here.
In their 2014 paper “Open-Source Syringe Pump Library,” Bas Wijnen, Emily Hunt, Gerald Anzalone, and Joshua Pearce detail an open-source syringe pump apparatus developed in their lab, as well as, validate the performance of the device. The authors write, “This syringe pump was designed using freely available open-source computer aided design (CAD) software and manufactured using an open-source RepRap 3-D printer and readily available parts. The design, bill of materials and assembly instructions are globally available to anyone wishing to use them on the Open-source syringe pump Approdepia page… The cost of the entire system, including the controller and web-based control interface, is on the order of 5% or less than one would expect to pay for a commercial syringe pump having similar performance. The design should suit the needs of a given research activity requiring a syringe pump including carefully controlled dosing of reagents, pharmaceuticals, and delivery of viscous 3-D printer media among other applications.”
Pearce Research group also provides an Open Source Lab page dedicated to low-cost, open-source lab hardware.
Wijnen, Bas; Hunt, Emily; Anzalone, Gerald; Pearce, Joshua (2014). Open-Source Syringe Pump Library. PLoS ONE, 9(9), e107216.
Please contact firstname.lastname@example.org for Arduino source code and the 3D design files of the mounts used to install this device into a behavioral chamber.
Feeding 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.
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.