multidimensional diffusion mri toolbox Search Results


multidimensional diffusion mri framework  (MathWorks Inc)
90
MathWorks Inc multidimensional diffusion mri framework
Multidimensional Diffusion Mri Framework, supplied by MathWorks 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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multidimensional diffusion mri toolbox  (MathWorks Inc)
90
MathWorks Inc multidimensional diffusion mri toolbox
Multidimensional Diffusion Mri Toolbox, supplied by MathWorks 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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multidimensional scaling  (MathWorks Inc)
90
MathWorks Inc multidimensional scaling
Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using <t>multidimensional</t> scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.
Multidimensional Scaling, supplied by MathWorks 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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multidimensional impact of cancer risk assessment (micra)  (Ameta International)
90
Ameta International multidimensional impact of cancer risk assessment (micra)
Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using <t>multidimensional</t> scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.
Multidimensional Impact Of Cancer Risk Assessment (Micra), supplied by Ameta International, 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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multidimensional analysis tool  (Unigene)
90
Unigene multidimensional analysis tool
Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using <t>multidimensional</t> scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.
Multidimensional Analysis Tool, supplied by Unigene, 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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multidimensional clinomics  (Clinomics Inc)
90
Clinomics Inc multidimensional clinomics
Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using <t>multidimensional</t> scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.
Multidimensional Clinomics, supplied by Clinomics 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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multidimensional probe x7-2  (Philips Healthcare)
90
Philips Healthcare multidimensional probe x7-2
Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using <t>multidimensional</t> scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.
Multidimensional Probe X7 2, supplied by Philips Healthcare, 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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berninger & abbott, 2010  (Abbott Laboratories)
90
Abbott Laboratories berninger & abbott, 2010
Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using <t>multidimensional</t> scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.
Berninger & Abbott, 2010, supplied by Abbott Laboratories, 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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software r-studio  (RStudio)
90
RStudio software r-studio
Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b <t>Multidimensional</t> <t>Scaling</t> <t>plot</t> of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana
Software R Studio, supplied by RStudio, 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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multidimensional essence of disease and illness scale (medis)  (Medis)
90
Medis multidimensional essence of disease and illness scale (medis)
Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b <t>Multidimensional</t> <t>Scaling</t> <t>plot</t> of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana
Multidimensional Essence Of Disease And Illness Scale (Medis), supplied by Medis, 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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multidimensional chi-square approaches  (Schmid GmbH)
90
Schmid GmbH multidimensional chi-square approaches
Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b <t>Multidimensional</t> <t>Scaling</t> <t>plot</t> of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana
Multidimensional Chi Square Approaches, supplied by Schmid GmbH, 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


Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using multidimensional scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.

Journal:

Article Title: Spontaneous events outline the realm of possible sensory responses in neocortical populations

doi: 10.1016/j.neuron.2009.03.014

Figure Lengend Snippet: Combinatorial constraints on population firing rate vectors. (A) Spike counts of two neurons (recorded from separate tetrodes) during the first 100ms of spontaneous upstates (black), responses to a tone (green), and natural sound (magenta). Data were jittered to show overlapping points. Note that regions occupied by responses to the sensory stimuli differ, but are both contained in the realm outlined by spontaneous patterns. (B) Contour plot showing regions occupied by points from (A). The blue outline is computed from spike counts shuffled between upstates, indicating the region that would be occupied in the absence of spike count correlations. (C) Firing rate vectors of entire population, visualized using multidimensional scaling; each dot represents the activity of 45 neurons, nonlinearly projected into two-dimensional space. (D) Contour plot derived from multidimensional scaling data, with responses to individual stimuli marked separately. Sensory-evoked responses again lie within the realm outlined by spontaneous events. (E) Scatter plot showing the Euclidean distances from each evoked event to its closest neighbor in the spontaneous events (Espont), and in the shuffled spontaneous events (Eshuf). Dashed red line shows equality. (F, G) Histogram showing the difference between distances to shuffled and spontaneous events (Eshuf − Espont). Top and bottom: data from all anesthetized and unanesthetized experiments, respectively. Almost every evoked event was closer to a true spontaneous vector than to a shuffled vector.

Article Snippet: Multidimensional scaling Multidimensional scaling was performed in MATLAB with Euclidian metric and Kruskal’s normalized stress1 criterion ( Kruskal and Wish, 1978 ).

Techniques: Activity Assay, Derivative Assay, Plasmid Preparation

Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b Multidimensional Scaling plot of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana

Journal: BMC Veterinary Research

Article Title: In vitro antiviral activity of fifteen plant extracts against avian infectious bronchitis virus

doi: 10.1186/s12917-019-1925-6

Figure Lengend Snippet: Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b Multidimensional Scaling plot of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana

Article Snippet: Hierarchical clusterisation and multidimensional scaling (MDS) were performed using the software R-Studio.

Techniques: