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A video based feedback system for control of an active commutator during behavioral physiology

Overview of attention for article published in Molecular Brain, January 2015
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Title
A video based feedback system for control of an active commutator during behavioral physiology
Published in
Molecular Brain, January 2015
DOI 10.1186/s13041-015-0152-8
Pubmed ID
Authors

Mootaek Roh, Thomas J McHugh, Kyungmin Lee

Abstract

To investigate the relationship between neural function and behavior it is necessary to record neuronal activity in the brains of freely behaving animals, a technique that typically involves tethering to a data acquisition system. Optimally this approach allows animals to behave without any interference of movement or task performance. Currently many laboratories in the cognitive and behavioral neuroscience fields employ commercial motorized commutator systems using torque sensors to detect tether movement induced by the trajectory behaviors of animals. In this study we describe a novel motorized commutator system which is automatically controlled by video tracking. To obtain accurate head direction data two light emitting diodes were used and video image noise was minimized by physical light source manipulation. The system calculates the rotation of the animal across a single trial by processing head direction data and the software, which calibrates the motor rotation angle, subsequently generates voltage pulses to actively untwist the tether. This system successfully provides a tether twist-free environment for animals performing behavioral tasks and simultaneous neural activity recording. To the best of our knowledge, it is the first to utilize video tracking generated head direction to detect tether twisting and compensate with a motorized commutator system. Our automatic commutator control system promises an affordable and accessible method to improve behavioral neurophysiology experiments, particularly in mice.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Researcher 3 23%
Student > Master 3 23%
Professor > Associate Professor 2 15%
Student > Bachelor 1 8%
Other 1 8%
Readers by discipline Count As %
Psychology 3 23%
Agricultural and Biological Sciences 2 15%
Neuroscience 2 15%
Physics and Astronomy 1 8%
Computer Science 1 8%
Other 2 15%
Unknown 2 15%

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 26 October 2015.
All research outputs
#9,144,796
of 11,426,369 outputs
Outputs from Molecular Brain
#393
of 501 outputs
Outputs of similar age
#170,714
of 248,422 outputs
Outputs of similar age from Molecular Brain
#23
of 27 outputs
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