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Reclassifying guesses to increase signal-to-noise ratio in psychological experiments.

• Authors : Gosselin F; Département de Psychologie, Université de Montréal, Montréal, Canada. .; Larouche JM

Subjects: Signal-To-Noise Ratio*; Humans ; Reaction Time

• Source: Behavior research methods [Behav Res Methods] 2024 Mar; Vol. 56 (3), pp. 2452-2468. Date of Electronic Publication: 2023 Jul 10.Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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A cell-electrode interface signal-to-noise ratio model for 3D micro-nano electrode.

• Authors : Yin S; Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China.; Li Y

Subjects: Signal-To-Noise Ratio*; Microelectrodes ; Cell Membrane

• Source: Journal of neural engineering [J Neural Eng] 2023 Aug 23; Vol. 20 (4). Date of Electronic Publication: 2023 Aug 23.Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN:

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Maximizing signal‐to‐noise ratio and statistical power in ERP measurement: Single sites versus multi‐site average clusters.

• Authors : Zhang, Wendy (AUTHOR); Kappenman, Emily S. (AUTHOR)

Subjects: SIGNAL-to-noise ratio; STATISTICAL power analysis; EVOKED potentials (Electrophysiology)

• Source: Psychophysiology. Feb2024, Vol. 61 Issue 2, p1-18. 18p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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