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

Abstract Background 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. Results 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. Conclusions 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.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.c.3615539
PID https://www.doi.org/10.6084/m9.figshare.c.3615539.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.3615539
URL http://dx.doi.org/10.6084/m9.figshare.c.3615539.v1
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right not available
Attribution

Description: Authorships and contributors

Field Value
Author Mootaek Roh
Author McHugh, Thomas
Author Kyungmin Lee
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite
Hosted By figshare
Publication Date 2015-01-01
Publisher Figshare
Additional Info
Field Value
Language UNKNOWN
Resource Type Collection
keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
keyword FOS: Health sciences
system:type other
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::c305e3469260291fd0d7b3b4eca9ae68
Author jsonws_user
Last Updated 20 December 2020, 03:35 (CET)
Created 20 December 2020, 03:35 (CET)