Analysis framework for the extraction of theta-nested spectral components
Lopes-dos-Santos V
van de Ven GM
Morley A
Trouche S
Campo-Urriza N
Dupret D
Description
This tutorial aims to extract theta-nested Spectral Components (tSCs) as described in the article linked to below.
Installation and use instructions are provided for Linux, as is example data.
Please send any comments or suggestions to Vítor ( vitor.lopesdossantos@pharm.ox.ac.uk ) or to David
( david.dupret@pharm.ox.ac.uk ).
Assistance with this dataset
We welcome researchers wishing to reuse our data to contact the creators of datasets. If you are unfamiliar with analysing the type of data we are sharing, have questions about the acquisition methodology, need additional help understanding a file format, or are interested in collaborating with us, please get in touch via email. Our current members have email addresses on our main site. The corresponding author of an associated publication, or the first or last creator of the dataset are likely to be able to assist, but in case of uncertainty on who to contact, email Ben Micklem, Research Support Manager at the MRC BNDU.
Year Published
2018
Funders & Grant Numbers
Medical Research Council (MC_UU_12024/3)
Medical Research Council (MC_ST_U14003)
Medical Research Council (MC_ST_U15045)
Downloaded times
First Published In
2018. Neuron, 100(4):940–952.
Free Full Text PDF here
Group
Terms
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) This is a human-readable summary of (and not a substitute for) the licence. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. This licence is acceptable for Free Cultural Works. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same licence as the original. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the licence permits.