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Connection

Robert Hampson to ROC Curve

This is a "connection" page, showing publications Robert Hampson has written about ROC Curve.
Connection Strength

0.101
  1. Sandler RA, Deadwyler SA, Hampson RE, Song D, Berger TW, Marmarelis VZ. System identification of point-process neural systems using probability based Volterra kernels. J Neurosci Methods. 2015 Jan 30; 240:179-92.
    View in: PubMed
    Score: 0.030
  2. Sandler RA, Song D, Hampson RE, Deadwyler SA, Berger TW, Marmarelis VZ. Model-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampus. J Comput Neurosci. 2015 Feb; 38(1):89-103.
    View in: PubMed
    Score: 0.029
  3. Marmarelis VZ, Shin DC, Song D, Hampson RE, Deadwyler SA, Berger TW. Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes. J Comput Neurosci. 2013 Feb; 34(1):73-87.
    View in: PubMed
    Score: 0.025
  4. Zanos TP, Courellis SH, Hampson RE, Deadwyler SA, Marmarelis VZ, Berger TW. A multi-input modeling approach to quantify hippocampal nonlinear dynamic transformations. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:4967-70.
    View in: PubMed
    Score: 0.016
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.