Data

TEPs- SEPs

Monash University
Mana Biabani (Aggregated by) Nigel Rogasch (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/5c0c8bf85eb24&rft.title=TEPs- SEPs&rft.identifier=http://doi.org/10.26180/5c0c8bf85eb24&rft.publisher=Monash University&rft.description=Data files required to run the analysis of TMS-evoked potentials:Mana Biabani, Alex Fornito, Tuomas P. Mutanen, James Morrow, Nigel C. Rogasch. Characterizing and minimizing the contribution of sensory inputs to TMS-evoked potentials.Matlab code for processing these data files and reproducing our analyses is in the Github repository (link below).The provided data is the outputs of the pre-processing stage. If you require the raw data, please contact Mana Biabani or Nigel Rogasch.&rft.creator=Mana Biabani&rft.creator=Mana Biabani&rft.creator=Nigel Rogasch&rft.creator=Nigel Rogasch&rft.date=2018&rft_rights=&rft_subject=Brain stimulation&rft_subject=TMS&rft_subject=TEPs&rft_subject=SEPs&rft_subject=Filters&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Other view details
Cc-by-nc-nd 4.0

Full description

Data files required to run the analysis of TMS-evoked potentials:


Mana Biabani, Alex Fornito, Tuomas P. Mutanen, James Morrow, Nigel C. Rogasch. Characterizing and minimizing the contribution of sensory inputs to TMS-evoked potentials.

Matlab code for processing these data files and reproducing our analyses is in the Github repository (link below).


The provided data is the outputs of the pre-processing stage. If you require the raw data, please contact Mana Biabani or Nigel Rogasch.

Issued: 2018-12-09

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Subjects
Brain stimulation | Filters | SEPs | TEPs | TMS |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857