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This is a "connection" page, showing publications co-authored by THOMAS MICHAEL MCHUGH and NURI FIRAT INCE.
THOMAS MICHAEL MCHUGH
Connection Strength
0.193
NURI FIRAT INCE
  1. Unsupervised machine learning can delineate central sulcus by using the spatiotemporal characteristic of somatosensory evoked potentials. J Neural Eng. 2021 04 29; 18(4).
    View in: PubMed
    Score: 0.193
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.