An easy-to-assemble, robust, and lightweight drive implant for chronic tetrode recordings in freely moving animals
Name
Voigts_2020_J._Neural_Eng._17_026044.pdf
Description
Published version
Size
16.58 MB
Format
Unknown
Checksum (MD5)
56d5ab3884a70e0c3e5e2121e23bf5a1
Author(s)
Voigts, Jakob
Newman, Jonathan P.
Wilson, Matthew A.
Harnett, Mark T.
Date Issued
2020
Journal
Journal of Neural Engineering
Publisher
IOP Publishing
Citation
Voigts, Jakob, Newman, Jonathan P, Wilson, Matthew A and Harnett, Mark T. 2020. "An easy-to-assemble, robust, and lightweight drive implant for chronic tetrode recordings in freely moving animals." Journal of Neural Engineering, 17 (2).
Version
Final published version
Abstract
© 2020 IOP Publishing Ltd. Tetrode arrays are a standard method for neuronal recordings in behaving animals, especially for chronic recordings of many neurons in freely-moving animals. Objective. We sought to simplify tetrode drive designs with the aim of enabling building and implanting a 16-tetrode drive in a single day. Approach. Our design makes use of recently developed technologies to reduce the complexity of the drive while maintaining a low weight. Main results. The design presents an improvement over existing implants in terms of robustness, weight, and ease of use. We describe two variants: a 16 tetrode implant weighing ∼2 g for mice, bats, tree shrews and similar animals, and a 64 tetrode implant weighing ∼16 g for rats and similar animals. These designs were co-developed and optimized alongside a new class of drive-mounted feature-rich amplifier boards with ultra-thin radio-frequency tethers, as described in an upcoming paper (Newman, Zhang et al in prep). Significance. This design significantly improves the data yield of chronic electrophysiology experiments.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Picower Institute for Learning and Memory
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1741-2552/AB77F9
