References

References

Methods and formats cited on this site. Each entry was checked against PubMed, the publisher or an index before it was added; references that could not be checked were left out.

  1. Nicholson C, Freeman JA (1975). Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. J Neurophysiol 38(2):356–368. doi:10.1152/jn.1975.38.2.356
    Cited on: Electrophysiology
  2. Mitzdorf U (1985). Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena. Physiol Rev 65(1):37–100. doi:10.1152/physrev.1985.65.1.37
    Cited on: Electrophysiology
  3. Kaiser JF (1990). On a simple algorithm to calculate the ‘energy’ of a signal. Proc. IEEE ICASSP-90, vol. 1, pp. 381–384. doi:10.1109/ICASSP.1990.115702
    Cited on: Electrophysiology
  4. Mukhopadhyay S, Ray GC (1998). A new interpretation of nonlinear energy operator and its efficacy in spike detection. IEEE Trans Biomed Eng 45(2):180–187. doi:10.1109/10.661266
    Cited on: Electrophysiology
  5. Quian Quiroga R, Nadasdy Z, Ben-Shaul Y (2004). Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Comput 16(8):1661–1687. doi:10.1162/089976604774201631
    Cited on: Electrophysiology
  6. Rousseeuw PJ (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20:53–65. doi:10.1016/0377-0427(87)90125-7
    Cited on: Electrophysiology
  7. Ester M, Kriegel H-P, Sander J, Xu X (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining (KDD-96), Portland, OR, pp. 226–231. AAAI Press. AAAI proceedings PDF
    Cited on: Electrophysiology
  8. Hill DN, Mehta SB, Kleinfeld D (2011). Quality metrics to accompany spike sorting of extracellular signals. J Neurosci 31(24):8699–8705. doi:10.1523/JNEUROSCI.0971-11.2011
    Cited on: Electrophysiology
  9. Kleinfeld D, Mitra PP, Helmchen F, Denk W (1998). Fluctuations and stimulus-induced changes in blood flow observed in individual capillaries in layers 2 through 4 of rat neocortex. Proc Natl Acad Sci USA 95(26):15741–15746. doi:10.1073/pnas.95.26.15741
    Cited on: Imaging
  10. Grienberger C, Konnerth A (2012). Imaging calcium in neurons. Neuron 73(5):862–885. doi:10.1016/j.neuron.2012.02.011
    Cited on: Imaging
  11. Bonner R, Nossal R (1981). Model for laser Doppler measurements of blood flow in tissue. Appl Opt 20(12):2097–2107. doi:10.1364/AO.20.002097
    Cited on: Laser Doppler flowmetry
  12. Boynton GM, Engel SA, Glover GH, Heeger DJ (1996). Linear systems analysis of functional magnetic resonance imaging in human V1. J Neurosci 16(13):4207–4221. doi:10.1523/JNEUROSCI.16-13-04207.1996
    Cited on: Demo data
  13. Welch PD (1967). The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoust 15(2):70–73. doi:10.1109/TAU.1967.1161901
    Cited on: Electrophysiology
  14. Welch BL (1947). The generalization of ‘Student’s’ problem when several different population variances are involved. Biometrika 34(1–2):28–35. doi:10.1093/biomet/34.1-2.28
    Cited on: Response features and statistics
  15. Kramer CY (1956). Extension of multiple range tests to group means with unequal numbers of replications. Biometrics 12(3):307–310. doi:10.2307/3001469
    Cited on: Response features and statistics
  16. Wilcoxon F (1945). Individual comparisons by ranking methods. Biometrics Bulletin 1(6):80–83. doi:10.2307/3001968
    Cited on: Response features and statistics
  17. Mann HB, Whitney DR (1947). On a test of whether one of two random variables is stochastically larger than the other. Ann Math Stat 18(1):50–60. doi:10.1214/aoms/1177730491
    Cited on: Response features and statistics
  18. Kruskal WH, Wallis WA (1952). Use of ranks in one-criterion variance analysis. J Am Stat Assoc 47(260):583–621. doi:10.1080/01621459.1952.10483441
    Cited on: Response features and statistics
  19. Butterworth S (1930). On the theory of filter amplifiers. Experimental Wireless and the Wireless Engineer 7:536–541.
    Cited on: Laser Doppler flowmetry
  20. Okabe M, Ito K (2008). Color Universal Design (CUD): how to make figures and presentations that are friendly to colorblind people. Web page (first published 2002). jfly.uni-koeln.de/color
    Cited on: Response features and statistics
  21. Rübel O, Tritt A, Ly R, Dichter BK, Ghosh S, Niu L, Baker P, Soltesz I, Ng L, Svoboda K, Frank L, Bouchard KE (2022). The Neurodata Without Borders ecosystem for neurophysiological data science. eLife 11:e78362. doi:10.7554/eLife.78362
    Cited on: File formats
  22. Intan Technologies. RHD2000 Application Note: Data File Formats. Technical documentation. intantech.com
    Cited on: File formats
  23. Open Ephys. Binary Format. Open Ephys GUI documentation. open-ephys.github.io
    Cited on: File formats
  24. Otsu N (1979). A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66. doi:10.1109/TSMC.1979.4310076
    Cited on: Imaging
  25. Pettersen KH, Devor A, Ulbert I, Dale AM, Einevoll GT (2006). Current-source density estimation based on inversion of electrostatic forward solution: effects of finite extent of neuronal activity and conductivity discontinuities. J Neurosci Methods 154(1–2):116–133. doi:10.1016/j.jneumeth.2005.12.005
    Cited on: Electrophysiology
  26. Potworowski J, Jakuczun W, Łęski S, Wójcik D (2012). Kernel current source density method. Neural Comput 24(2):541–575. doi:10.1162/NECO_a_00236
    Cited on: Electrophysiology
  27. Mauchly JW (1940). Significance test for sphericity of a normal n-variate distribution. Ann Math Stat 11(2):204–209. doi:10.1214/aoms/1177731915
    Cited on: Response features and statistics
  28. Greenhouse SW, Geisser S (1959). On methods in the analysis of profile data. Psychometrika 24(2):95–112. doi:10.1007/BF02289823
    Cited on: Response features and statistics
  29. Huynh H, Feldt LS (1976). Estimation of the Box correction for degrees of freedom from sample data in randomized block and split-plot designs. J Educ Stat 1(1):69–82. doi:10.3102/10769986001001069
    Cited on: Response features and statistics
  30. Holm S (1979). A simple sequentially rejective multiple test procedure. Scand J Stat 6(2):65–70. JSTOR 4615733
    Cited on: Response features and statistics
  31. Friedman M (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32(200):675–701. doi:10.1080/01621459.1937.10503522
    Cited on: Response features and statistics
  32. Briers JD, Webster S (1996). Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow. J Biomed Opt 1(2):174–179. doi:10.1117/12.231359
    Cited on: Laser speckle flowmetry
  33. Boas DA, Dunn AK (2010). Laser speckle contrast imaging in biomedical optics. J Biomed Opt 15(1):011109. doi:10.1117/1.3285504
    Cited on: Laser speckle flowmetry, Demo data
  34. Bandyopadhyay R, Gittings AS, Suh SS, Dixon PK, Durian DJ (2005). Speckle-visibility spectroscopy: a tool to study time-varying dynamics. Rev Sci Instrum 76(9):093110. doi:10.1063/1.2037987
    Cited on: Laser speckle flowmetry, Demo data
  35. Cheng H, Luo Q, Zeng S, Chen S, Cen J, Gong H (2003). Modified laser speckle imaging method with improved spatial resolution. J Biomed Opt 8(3):559–564. doi:10.1117/1.1578089
    Cited on: Laser speckle flowmetry
  36. Widmann A, Schröger E, Maess B (2015). Digital filter design for electrophysiological data – a practical approach. J Neurosci Methods 250:34–46. doi:10.1016/j.jneumeth.2014.08.002
    Cited on: EEG
  37. Oostenveld R, Praamstra P (2001). The five percent electrode system for high-resolution EEG and ERP measurements. Clin Neurophysiol 112(4):713–719. doi:10.1016/s1388-2457(00)00527-7
    Cited on: EEG
  38. Jurcak V, Tsuzuki D, Dan I (2007). 10/20, 10/10, and 10/5 systems revisited: their validity as relative head-surface-based positioning systems. NeuroImage 34(4):1600–1611. doi:10.1016/j.neuroimage.2006.09.024
    Cited on: EEG
  39. Perrin F, Pernier J, Bertrand O, Echallier JF (1989). Spherical splines for scalp potential and current density mapping. Electroencephalogr Clin Neurophysiol 72(2):184–187. doi:10.1016/0013-4694(89)90180-6. Corrigendum (1990): Electroencephalogr Clin Neurophysiol 76(6):565–566. doi:10.1016/0013-4694(90)90009-9
    Cited on: EEG
  40. Duchon J (1977). Splines minimizing rotation-invariant semi-norms in Sobolev spaces. In: Schempp W, Zeller K (eds) Constructive Theory of Functions of Several Variables. Lecture Notes in Mathematics 571, pp. 85–100. Springer, Berlin. doi:10.1007/BFb0086566
    Cited on: EEG
  41. Makeig S (1993). Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones. Electroencephalogr Clin Neurophysiol 86(4):283–293. doi:10.1016/0013-4694(93)90110-h
    Cited on: EEG
  42. Tallon-Baudry C, Bertrand O, Delpuech C, Pernier J (1996). Stimulus specificity of phase-locked and non-phase-locked 40 Hz visual responses in human. J Neurosci 16(13):4240–4249. doi:10.1523/JNEUROSCI.16-13-04240.1996
    Cited on: EEG
  43. Pfurtscheller G, Lopes da Silva FH (1999). Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol 110(11):1842–1857. doi:10.1016/s1388-2457(99)00141-8
    Cited on: EEG
  44. Kuglin CD, Hines DC (1975). The phase correlation image alignment method. Proc. IEEE International Conference on Cybernetics and Society, pp. 163–165.
    Cited on: Imaging
  45. Hampel FR (1974). The influence curve and its role in robust estimation. J Am Stat Assoc 69(346):383–393. doi:10.1080/01621459.1974.10482962
    Cited on: Imaging
  46. Pearson RK, Neuvo Y, Astola J, Gabbouj M (2016). Generalized Hampel filters. EURASIP J Adv Signal Process 2016:87. doi:10.1186/s13634-016-0383-6
    Cited on: Imaging
  47. Smith SL, Häusser M (2010). Parallel processing of visual space by neighboring neurons in mouse visual cortex. Nat Neurosci 13(9):1144–1149. doi:10.1038/nn.2620
    Cited on: Imaging

A few methods in the toolbox still have no citation (for example the studentized-range integration, the rank-biserial correlation and the ITPC chance level); adding verified references is an open item in the roadmap.