An open source motorized swivel for in vivo neural and behavioral recordings

Giovanni Barbera, Yan Zhang, Craig Werner, Bo Liang, Yun Li, Da Ting Lin

Research output: Contribution to journalArticlepeer-review

Abstract

In this work we propose an open source, cost-effective motorized swivel for behavioral and neural recordings in small rodents, offering a flexible solution for managing cable twisting and tangling in a variety of experimental settings with minimal human supervision. • The device operates independently of the data acquisition system, and it can be controlled through any popular platform such as Arduino or Raspberry Pi. • All mechanical parts are 3D-printed, allowing to customize the design to fit specific experimental needs, and electromechanical components can be sourced from all major distributors, keeping the cost for the entire system under $500. • The proposed commutator is compatible with commercial or custom data acquisition systems supporting up to 10 data lines (2 for LVDS signals) and 2 power lines.

Original languageEnglish
Article number101167
JournalMethodsX
Volume7
DOIs
StatePublished - Jan 2020
Externally publishedYes

Keywords

  • Motorized commutator
  • Motorized slip ring
  • Motorized swivel
  • Neural recording swivel

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