| Title |
OBAT: An open-source and low-cost operant box for auditory discriminative tasks
|
|---|---|
| Published in |
Behavior Research Methods, May 2017
|
| DOI | 10.3758/s13428-017-0906-6 |
| Pubmed ID | |
| Authors |
Mauricio Watanabe Ribeiro, José Firmino Rodrigues Neto, Edgard Morya, Fabrício Lima Brasil, Mariana Ferreira Pereira de Araújo |
| Abstract |
Operant-conditioning boxes are widely used in animal training, allowing researchers to shape specific behaviors through reinforcements and/or punishments. Commercially available devices are expensive and run with proprietary software and hardware, hampering adaptations for the specific needs of an experiment. Therefore, many low-cost and open-source devices have recently been developed, but there are still few options for studying auditory behaviors. To overcome this problem, we developed a device based on a computer and an Arduino Mega 2560 board, named OBAT (Operant Box for Auditory Tasks), designed to present two different auditory stimuli to small primates. It has three modules: sound delivery, response bars, and reward system. We estimate that OBAT is at least 4-10 times cheaper than commercially available operant-conditioning boxes. Data from a behavioral pilot test ensured that the device can be used to train a marmoset in an auditory discrimination task. In addition, despite its low cost, accuracy tests showed that the OBAT operates with a high temporal precision. All schematics and software source code are available so that other groups can easily replicate the experiment or adapt the device to their own needs. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Bachelor | 6 | 18% |
| Researcher | 6 | 18% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 36% |
| Agricultural and Biological Sciences | 7 | 21% |
| Psychology | 3 | 9% |
| Arts and Humanities | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2018.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Behavior Research Methods
#1,636
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Outputs of similar age
#207,344
of 325,039 outputs
Outputs of similar age from Behavior Research Methods
#32
of 46 outputs
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