Showing 30,101 - 30,112 results of 30,112 for search '(( 50 ((ng decrease) OR (((a decrease) OR (nn decrease)))) ) OR ( 2 step decrease ))', query time: 0.89s Refine Results
  1. 30101

    Video_1_A Characterization of Brain-Computer Interface Performance Trade-Offs Using Support Vector Machines and Deep Neural Networks to Decode Movement Intent.MP4 by Nicholas D. Skomrock (5056142)

    Published 2018
    “…We also show that data preprocessing steps can affect the performance characteristics of the two decoders in drastically different ways. …”
  2. 30102

    Table_5_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  3. 30103

    Table_3_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  4. 30104

    Table_1_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  5. 30105

    Image_3_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  6. 30106

    Image_1_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  7. 30107

    Image_4_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  8. 30108

    Table_6_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  9. 30109

    Image_5_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  10. 30110

    Table_4_Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons.pdf by Selina Baeza-Loya (20276955)

    Published 2024
    “…<p>Vestibular afferent neurons occur as two populations with differences in spike timing regularity that are independent of rate. …”
  11. 30111

    Experimental Gastric Carcinogenesis in <i>Cebus apella</i> Nonhuman Primates by Joana de Fátima Ferreira Borges da Costa (212759)

    Published 2011
    “…<div><p>The evolution of gastric carcinogenesis remains largely unknown. We established two gastric carcinogenesis models in New-World nonhuman primates. …”
  12. 30112

    Sensitivity analysis of the results of Fig 3, for the high school contact network, w.r.t. graph of persistent contacts. by Simon Mauras (11337066)

    Published 2021
    “…Part (b) is a construction of what we call a <i>best friends</i> graph, constructed in the following two steps: First, each person lists their neighbor by order of decreasing number of contacts, stopping as soon as they reach 25% or their total number of contacts. …”