hypergeometric cumulative distribution function Search Results


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Cumulative Distribution Function, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc cumulative distributions
Entrainment of the pStr neuronal firing by 4 Hz oscillations (A) Phase modulation of the pStr neuron firing with respect to 4 Hz oscillations referenced to the pStr (top), dLGN (middle), and VC (bottom) during the early (left), middle (middle), and late (right) learning stages. Only significantly phase-modulated neurons are shown ( p < 0.05, Rayleigh test). The color scale represents the normalized firing rate of each neuron. The proportions of significantly phase-modulated neurons (early, middle, and late) were as follows: pStr-referenced, 22.9%, 18.9%, and 33.8%; dLGN-referenced, 22.9%, 22.3%, and 23.7%; and VC-referenced, 8.3%, 17.6%, and 20.2%. (B) <t>Cumulative</t> density function of phase modulation strength statistics log Z (Rayleigh Z statistic) for the pStr neurons. Green, blue, and purple lines represent the early, middle, and late stages, respectively. (C) Proportion of the pStr neurons phase-locked to 4 Hz oscillations referenced to the pStr (left), dLGN (middle), and VC (right) at each learning stage. Vertical bars represent the 95% confidence intervals (Clopper-Pearson method). (D) Histograms of preferred phase for the pStr neurons with respect to pStr (top), dLGN (middle), and VC (bottom) 4 Hz oscillations at the early (left), middle (middle), and late (right) learning stages. (E) Schematic of the hypothetical visual pathways conveying task-relevant information. After learning, the 4 Hz coherence between the pStr and visual areas increases, and a larger fraction of the pStr neurons is phase-modulated by visual-area 4 Hz oscillations. This strengthens functional connectivity between the pStr and visual areas, enabling rapid information transfer to downstream targets and improving task efficiency.
Cumulative Distributions, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute cumulative distribution function plot
Entrainment of the pStr neuronal firing by 4 Hz oscillations (A) Phase modulation of the pStr neuron firing with respect to 4 Hz oscillations referenced to the pStr (top), dLGN (middle), and VC (bottom) during the early (left), middle (middle), and late (right) learning stages. Only significantly phase-modulated neurons are shown ( p < 0.05, Rayleigh test). The color scale represents the normalized firing rate of each neuron. The proportions of significantly phase-modulated neurons (early, middle, and late) were as follows: pStr-referenced, 22.9%, 18.9%, and 33.8%; dLGN-referenced, 22.9%, 22.3%, and 23.7%; and VC-referenced, 8.3%, 17.6%, and 20.2%. (B) <t>Cumulative</t> density function of phase modulation strength statistics log Z (Rayleigh Z statistic) for the pStr neurons. Green, blue, and purple lines represent the early, middle, and late stages, respectively. (C) Proportion of the pStr neurons phase-locked to 4 Hz oscillations referenced to the pStr (left), dLGN (middle), and VC (right) at each learning stage. Vertical bars represent the 95% confidence intervals (Clopper-Pearson method). (D) Histograms of preferred phase for the pStr neurons with respect to pStr (top), dLGN (middle), and VC (bottom) 4 Hz oscillations at the early (left), middle (middle), and late (right) learning stages. (E) Schematic of the hypothetical visual pathways conveying task-relevant information. After learning, the 4 Hz coherence between the pStr and visual areas increases, and a larger fraction of the pStr neurons is phase-modulated by visual-area 4 Hz oscillations. This strengthens functional connectivity between the pStr and visual areas, enabling rapid information transfer to downstream targets and improving task efficiency.
Cumulative Distribution Function Plot, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Quantum Dot Inc fm dye imaging
Graphene induces presynaptic potentiation. a Sample images of FM1-43 labeling. Scale bar, 30 μm. b <t>Cumulative</t> distributions of FM1-43 intensities at synaptic boutons (black, glass; red, graphene, same color coding hereafter). n glass = 207 ROIs, n graphene = 139 ROIs, N = 3; p < 0.05, Kolmogorov–Smirnov test). Inset. Average FM1-43 fluorescence. ** p < 0.01, two-tailed t- test. c Sample images of FM1-43 labeling after destaining. Scale bar, 30 μm. d FM1-43 fluorescence during destaining. Inset is average fluorescence from 170 to 180 s ( n glass = 207 ROIs, n graphene = 139 ROIs, N = 3; *** p < 0.001, two-tailed t -test). e Sample images of single Qdot loading. Scale bar, 30 μm. f Cumulative distributions of Qdot intensity after background subtraction in ROIs defined by retrospective FM4-64 labeling (single Qdot loading, dotted line; total recycling pool loading, solid lines). The average single Qdot intensity after background subtraction is 378 ± 41 a.u. The average total Qdot intensities after background subtraction are 8787 ± 156 a.u. for glass and 11,050 ± 224 a.u. for graphene ( n glass = 187 ROIs, n graphene = 211 ROIs, N = 4; p < 0.001, Kolmogorov–Smirnov test). The estimated average numbers of total recycling vesicles are 23.2 for glass and 29.2 for graphene. g Sample images of single Qdot labeling after stimulation. Scale bar, 30 μm. h Fast-and-reversible fusion (FRF) ratio (out of all fusion events) during 1-min 10-Hz field stimulation ( n glass = 174 ROIs, n graphene = 181 ROIs, N = 3; *** p < 0.001, two-tailed t -test on the average FRF values from a five-frame window at the end of each time course). Error bars are S.E.M.
Fm Dye Imaging, supplied by Quantum Dot Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Entrainment of the pStr neuronal firing by 4 Hz oscillations (A) Phase modulation of the pStr neuron firing with respect to 4 Hz oscillations referenced to the pStr (top), dLGN (middle), and VC (bottom) during the early (left), middle (middle), and late (right) learning stages. Only significantly phase-modulated neurons are shown ( p < 0.05, Rayleigh test). The color scale represents the normalized firing rate of each neuron. The proportions of significantly phase-modulated neurons (early, middle, and late) were as follows: pStr-referenced, 22.9%, 18.9%, and 33.8%; dLGN-referenced, 22.9%, 22.3%, and 23.7%; and VC-referenced, 8.3%, 17.6%, and 20.2%. (B) Cumulative density function of phase modulation strength statistics log Z (Rayleigh Z statistic) for the pStr neurons. Green, blue, and purple lines represent the early, middle, and late stages, respectively. (C) Proportion of the pStr neurons phase-locked to 4 Hz oscillations referenced to the pStr (left), dLGN (middle), and VC (right) at each learning stage. Vertical bars represent the 95% confidence intervals (Clopper-Pearson method). (D) Histograms of preferred phase for the pStr neurons with respect to pStr (top), dLGN (middle), and VC (bottom) 4 Hz oscillations at the early (left), middle (middle), and late (right) learning stages. (E) Schematic of the hypothetical visual pathways conveying task-relevant information. After learning, the 4 Hz coherence between the pStr and visual areas increases, and a larger fraction of the pStr neurons is phase-modulated by visual-area 4 Hz oscillations. This strengthens functional connectivity between the pStr and visual areas, enabling rapid information transfer to downstream targets and improving task efficiency.

Journal: iScience

Article Title: Learning-dependent 4 Hz synchronization in the posterior striatum, lateral geniculate nucleus, and visual cortex

doi: 10.1016/j.isci.2025.113958

Figure Lengend Snippet: Entrainment of the pStr neuronal firing by 4 Hz oscillations (A) Phase modulation of the pStr neuron firing with respect to 4 Hz oscillations referenced to the pStr (top), dLGN (middle), and VC (bottom) during the early (left), middle (middle), and late (right) learning stages. Only significantly phase-modulated neurons are shown ( p < 0.05, Rayleigh test). The color scale represents the normalized firing rate of each neuron. The proportions of significantly phase-modulated neurons (early, middle, and late) were as follows: pStr-referenced, 22.9%, 18.9%, and 33.8%; dLGN-referenced, 22.9%, 22.3%, and 23.7%; and VC-referenced, 8.3%, 17.6%, and 20.2%. (B) Cumulative density function of phase modulation strength statistics log Z (Rayleigh Z statistic) for the pStr neurons. Green, blue, and purple lines represent the early, middle, and late stages, respectively. (C) Proportion of the pStr neurons phase-locked to 4 Hz oscillations referenced to the pStr (left), dLGN (middle), and VC (right) at each learning stage. Vertical bars represent the 95% confidence intervals (Clopper-Pearson method). (D) Histograms of preferred phase for the pStr neurons with respect to pStr (top), dLGN (middle), and VC (bottom) 4 Hz oscillations at the early (left), middle (middle), and late (right) learning stages. (E) Schematic of the hypothetical visual pathways conveying task-relevant information. After learning, the 4 Hz coherence between the pStr and visual areas increases, and a larger fraction of the pStr neurons is phase-modulated by visual-area 4 Hz oscillations. This strengthens functional connectivity between the pStr and visual areas, enabling rapid information transfer to downstream targets and improving task efficiency.

Article Snippet: The Kolmogorov-Smirnov test was applied to compare cumulative distributions (‘kstest.m’ function in MATLAB Statistics and Machine Learning Toolbox).

Techniques: Functional Assay

Graphene induces presynaptic potentiation. a Sample images of FM1-43 labeling. Scale bar, 30 μm. b Cumulative distributions of FM1-43 intensities at synaptic boutons (black, glass; red, graphene, same color coding hereafter). n glass = 207 ROIs, n graphene = 139 ROIs, N = 3; p < 0.05, Kolmogorov–Smirnov test). Inset. Average FM1-43 fluorescence. ** p < 0.01, two-tailed t- test. c Sample images of FM1-43 labeling after destaining. Scale bar, 30 μm. d FM1-43 fluorescence during destaining. Inset is average fluorescence from 170 to 180 s ( n glass = 207 ROIs, n graphene = 139 ROIs, N = 3; *** p < 0.001, two-tailed t -test). e Sample images of single Qdot loading. Scale bar, 30 μm. f Cumulative distributions of Qdot intensity after background subtraction in ROIs defined by retrospective FM4-64 labeling (single Qdot loading, dotted line; total recycling pool loading, solid lines). The average single Qdot intensity after background subtraction is 378 ± 41 a.u. The average total Qdot intensities after background subtraction are 8787 ± 156 a.u. for glass and 11,050 ± 224 a.u. for graphene ( n glass = 187 ROIs, n graphene = 211 ROIs, N = 4; p < 0.001, Kolmogorov–Smirnov test). The estimated average numbers of total recycling vesicles are 23.2 for glass and 29.2 for graphene. g Sample images of single Qdot labeling after stimulation. Scale bar, 30 μm. h Fast-and-reversible fusion (FRF) ratio (out of all fusion events) during 1-min 10-Hz field stimulation ( n glass = 174 ROIs, n graphene = 181 ROIs, N = 3; *** p < 0.001, two-tailed t -test on the average FRF values from a five-frame window at the end of each time course). Error bars are S.E.M.

Journal: Nature Communications

Article Title: Membrane cholesterol mediates the cellular effects of monolayer graphene substrates

doi: 10.1038/s41467-018-03185-0

Figure Lengend Snippet: Graphene induces presynaptic potentiation. a Sample images of FM1-43 labeling. Scale bar, 30 μm. b Cumulative distributions of FM1-43 intensities at synaptic boutons (black, glass; red, graphene, same color coding hereafter). n glass = 207 ROIs, n graphene = 139 ROIs, N = 3; p < 0.05, Kolmogorov–Smirnov test). Inset. Average FM1-43 fluorescence. ** p < 0.01, two-tailed t- test. c Sample images of FM1-43 labeling after destaining. Scale bar, 30 μm. d FM1-43 fluorescence during destaining. Inset is average fluorescence from 170 to 180 s ( n glass = 207 ROIs, n graphene = 139 ROIs, N = 3; *** p < 0.001, two-tailed t -test). e Sample images of single Qdot loading. Scale bar, 30 μm. f Cumulative distributions of Qdot intensity after background subtraction in ROIs defined by retrospective FM4-64 labeling (single Qdot loading, dotted line; total recycling pool loading, solid lines). The average single Qdot intensity after background subtraction is 378 ± 41 a.u. The average total Qdot intensities after background subtraction are 8787 ± 156 a.u. for glass and 11,050 ± 224 a.u. for graphene ( n glass = 187 ROIs, n graphene = 211 ROIs, N = 4; p < 0.001, Kolmogorov–Smirnov test). The estimated average numbers of total recycling vesicles are 23.2 for glass and 29.2 for graphene. g Sample images of single Qdot labeling after stimulation. Scale bar, 30 μm. h Fast-and-reversible fusion (FRF) ratio (out of all fusion events) during 1-min 10-Hz field stimulation ( n glass = 174 ROIs, n graphene = 181 ROIs, N = 3; *** p < 0.001, two-tailed t -test on the average FRF values from a five-frame window at the end of each time course). Error bars are S.E.M.

Article Snippet: Cumulative distribution functions (FM dye and Qdot imaging) or histograms (GP imaging) were used for two-group comparison of pooled values.

Techniques: Labeling, Fluorescence, Two Tailed Test