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  1. Karadzhov, Dimitar ; Sharp, Laura ; et al.
    2023
    academicJournal
  2. Karadzhov, Dimitar ; Sharp, Laura ; et al.
    2023
    academicJournal
  3. Biggins, Susan Elisabeth
    In: IPS/BAS 495 Undergraduate Capstone Projects, 2024
    academicJournal
  4. Zhao, Shulin
    2023
    unknown
  5. Zhao, Shulin
    2023
    unknown
  6. Loveridge, Carolyn ; Davis, Kimberly
    2022
    academicJournal
  7. Miller, D. Michael ; Dueck, Gerhard W.
    In: 2021 IEEE 51st International Symposium on Multiple-Valued Logic (ISMVL, 2021
    Online Konferenz
  8. Aggarwal, Anushka ; Sharma, Shobha
    In: 2021 International Conference on Simulation, Automation & Smart Manufacturing (SASM, 2021
    Online Konferenz
  9. Guzan, Milan ; Vince, Tibor ; et al.
    In: 2021 IEEE International Conference on Modern Electrical and Energy Systems (MEES, 2021
    Online Konferenz
  10. Oman, Charles
    2013
    Online Konferenz
  11. Santosh, T.Y.S.S ; Saha, Avirup ; et al.
    In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
    Konferenz
  12. Crow, Jenny
    2019
    Konferenz
  13. Przigoda, Nils ; Przigoda, Judith ; et al.
    In: 2019 IEEE 49th International Symposium on Multiple-Valued Logic (ISMVL, 2019
    Online Konferenz
  14. Radmanovic, Milos ; Stankovic, Radomir
    In: 2018 IEEE 48th International Symposium on Multiple-Valued Logic (ISMVL, 2018
    Online Konferenz
  15. Arai, Kazushige ; Yemini, Yachiam
    In: Integrated Network Management IV ; page 454-465 ; ISBN 9781475755176 9780387348902; (1995)
    Buch
  16. Raghavan, B. Srinivasa ; Bhaaskaran, V. S. Kanchana
    In: 2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2, 2017
    Online Konferenz
  17. Chowdhury, A. ; Razali, M. ; et al.
    2015
    Online Konferenz
  18. Zhang, Haipeng ; Zhang, Qiang ; et al.
    In: Journal of Semiconductors ; volume 39, issue 7, page 074004 ; ISSN 1674-4926, 2018
    Online academicJournal
  19. Figure 4. Classifier performance and comparison of theta phase locking for different functional classes on an extended layer II dataset. ; (A) Classifier performance on the population of tagged cells. Numbers of cells correctly identified as stellate cells (purple), incorrectly identified as pyramidal cells (orange), and in the guard zone (green) are shown in the stacked bar chart. (B) Preferred theta phase (angle) and strength of theta phase modulation (mean vector length, MVL, radius, peak of the oscillation is 0 and trough is pi) for all cells in in the extended layer II dataset. The data for all cells are presented in circular form on the left and unwrapped on the top right. Cells are color-coded based on their classification into putative stellate and pyramidal categories (classification based on phase locking to local theta oscillation; see text). Cells showed some clustering around the peak (0) and trough (pi). Bottom right shows the distribution of grid cells only where the dot size is proportional to the grid score. (C) Kernel density estimates (KDE) of grid scores (top) and border scores (bottom) for putative stellate cells and putative pyramidal cells. (D) Breakdown of the two groups by functional category. (E) Example grid cells (path plots and color-coded rate maps) with theta phase histograms (normalized such that the area under the curve equals 1 for comparison of depth of modulation between cells) for the two categories of cells. Peak rates for rate maps are indicated above the maps. Clear grid cells exist in both populations and exhibit a variety of theta phase preferences. (F) KDEs showing that grid cells exhibit no significant difference in theta modulation from border cells (top) but less theta modulation than non-grid cells as a group. (G) Violin plots with individual data points in white overlaid for theta modulation by cell class (shaded regions give the kernel density estimates and the white dots are individual data points). We only included pure cells (cells that classified criteria for only one cell type) in this analysis to preserve independence between groups. (**=P < 0.01, ***=P < 0.001, two-sided Mann-Whitney U-test).
    2018
    unknown
  20. K Divakaran Prathapan (11199207) ; R Pethiyagoda (11199210) ; et al.
    2021
    academicJournal
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