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tcsd estimation methods  (MathWorks Inc)


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    MathWorks Inc tcsd estimation methods
    Comparison of ground-truth CSD and CSD estimates from model LFPs. <t>The</t> <t>tCSD</t> and <t>iCSD</t> methods were applied to model LFPs corresponding to an RS-cell population. The LFPs resulted from a synapse distribution within a cylinder with r syn = h syn = 200 μm, and zero offset μ z . Synapses were activated at t = 0 ms, and other parameters were similar to the default parameters . The projection resulted in 666 postsynaptic neurons and 1758 dendritic synapses. A , Illustration of the postsynaptic RS-cell population and synapse positions. The scatter plots show the synaptic distributions projected in the xz and xy planes, respectively, with corresponding histograms of synaptic locations. Gray dots denote somas of neurons without synapses; black dots denote postsynaptic neurons; red dots denote the synapse locations. The histograms show the spatial distribution of synapse locations along the x -axis and z -axis, respectively. The single tick label denotes the maximum synapse count within 10 μm bins along the depicted axes. B , LFP response from TC input. C , Ground-truth CSD, filtered. Spatial resolution corresponded to the LFP recording, i.e., h z = 100 μm. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. D , Ground-truth CSDs calculated with increased spatial resolution ( h z = 20 μm), filtered. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. E , Deviations between ground-truth CSD ( C and D ) and δ-iCSD and spline-iCSD estimates as a function of source radius r CSD . The least-square error measure LS is defined in , and values are normalized such that the global minimum is 1 (occurring for the value of r CSD giving the best fit). Also shown is the correlation coefficient, i.e., Pearson product–moment correlation coefficient, cc , between ground-truth CSD and the iCSD estimates. F , Standard CSD estimate from model LFP in B . G , δ-iCSD method estimate based on model LFP in B , r CSD = 100 μm. H , Spline-iCSD method estimate based on model LFP in B , r CSD = 100 μm. I–L , δ-iCSD estimates for a set of different values for r CSD , i.e., 50, 200, 500 and 10 9 μm, respectively. The number and scale bar inside B–D and F–L describe the amplitude of the line plots. The number also gives the LFP or CSD values corresponding to ±1 of the color bar.
    Tcsd Estimation Methods, 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
    https://www.bioz.com/result/tcsd estimation methods/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    tcsd estimation methods - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "Focal Local Field Potential Signature of the Single-Axon Monosynaptic Thalamocortical Connection"

    Article Title: Focal Local Field Potential Signature of the Single-Axon Monosynaptic Thalamocortical Connection

    Journal: The Journal of Neuroscience

    doi: 10.1523/JNEUROSCI.2715-16.2017

    Comparison of ground-truth CSD and CSD estimates from model LFPs. The tCSD and iCSD methods were applied to model LFPs corresponding to an RS-cell population. The LFPs resulted from a synapse distribution within a cylinder with r syn = h syn = 200 μm, and zero offset μ z . Synapses were activated at t = 0 ms, and other parameters were similar to the default parameters . The projection resulted in 666 postsynaptic neurons and 1758 dendritic synapses. A , Illustration of the postsynaptic RS-cell population and synapse positions. The scatter plots show the synaptic distributions projected in the xz and xy planes, respectively, with corresponding histograms of synaptic locations. Gray dots denote somas of neurons without synapses; black dots denote postsynaptic neurons; red dots denote the synapse locations. The histograms show the spatial distribution of synapse locations along the x -axis and z -axis, respectively. The single tick label denotes the maximum synapse count within 10 μm bins along the depicted axes. B , LFP response from TC input. C , Ground-truth CSD, filtered. Spatial resolution corresponded to the LFP recording, i.e., h z = 100 μm. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. D , Ground-truth CSDs calculated with increased spatial resolution ( h z = 20 μm), filtered. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. E , Deviations between ground-truth CSD ( C and D ) and δ-iCSD and spline-iCSD estimates as a function of source radius r CSD . The least-square error measure LS is defined in , and values are normalized such that the global minimum is 1 (occurring for the value of r CSD giving the best fit). Also shown is the correlation coefficient, i.e., Pearson product–moment correlation coefficient, cc , between ground-truth CSD and the iCSD estimates. F , Standard CSD estimate from model LFP in B . G , δ-iCSD method estimate based on model LFP in B , r CSD = 100 μm. H , Spline-iCSD method estimate based on model LFP in B , r CSD = 100 μm. I–L , δ-iCSD estimates for a set of different values for r CSD , i.e., 50, 200, 500 and 10 9 μm, respectively. The number and scale bar inside B–D and F–L describe the amplitude of the line plots. The number also gives the LFP or CSD values corresponding to ±1 of the color bar.
    Figure Legend Snippet: Comparison of ground-truth CSD and CSD estimates from model LFPs. The tCSD and iCSD methods were applied to model LFPs corresponding to an RS-cell population. The LFPs resulted from a synapse distribution within a cylinder with r syn = h syn = 200 μm, and zero offset μ z . Synapses were activated at t = 0 ms, and other parameters were similar to the default parameters . The projection resulted in 666 postsynaptic neurons and 1758 dendritic synapses. A , Illustration of the postsynaptic RS-cell population and synapse positions. The scatter plots show the synaptic distributions projected in the xz and xy planes, respectively, with corresponding histograms of synaptic locations. Gray dots denote somas of neurons without synapses; black dots denote postsynaptic neurons; red dots denote the synapse locations. The histograms show the spatial distribution of synapse locations along the x -axis and z -axis, respectively. The single tick label denotes the maximum synapse count within 10 μm bins along the depicted axes. B , LFP response from TC input. C , Ground-truth CSD, filtered. Spatial resolution corresponded to the LFP recording, i.e., h z = 100 μm. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. D , Ground-truth CSDs calculated with increased spatial resolution ( h z = 20 μm), filtered. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. E , Deviations between ground-truth CSD ( C and D ) and δ-iCSD and spline-iCSD estimates as a function of source radius r CSD . The least-square error measure LS is defined in , and values are normalized such that the global minimum is 1 (occurring for the value of r CSD giving the best fit). Also shown is the correlation coefficient, i.e., Pearson product–moment correlation coefficient, cc , between ground-truth CSD and the iCSD estimates. F , Standard CSD estimate from model LFP in B . G , δ-iCSD method estimate based on model LFP in B , r CSD = 100 μm. H , Spline-iCSD method estimate based on model LFP in B , r CSD = 100 μm. I–L , δ-iCSD estimates for a set of different values for r CSD , i.e., 50, 200, 500 and 10 9 μm, respectively. The number and scale bar inside B–D and F–L describe the amplitude of the line plots. The number also gives the LFP or CSD values corresponding to ±1 of the color bar.

    Techniques Used: Comparison



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    tcsd estimation methods  (MathWorks Inc)
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    MathWorks Inc tcsd estimation methods
    Comparison of ground-truth CSD and CSD estimates from model LFPs. <t>The</t> <t>tCSD</t> and <t>iCSD</t> methods were applied to model LFPs corresponding to an RS-cell population. The LFPs resulted from a synapse distribution within a cylinder with r syn = h syn = 200 μm, and zero offset μ z . Synapses were activated at t = 0 ms, and other parameters were similar to the default parameters . The projection resulted in 666 postsynaptic neurons and 1758 dendritic synapses. A , Illustration of the postsynaptic RS-cell population and synapse positions. The scatter plots show the synaptic distributions projected in the xz and xy planes, respectively, with corresponding histograms of synaptic locations. Gray dots denote somas of neurons without synapses; black dots denote postsynaptic neurons; red dots denote the synapse locations. The histograms show the spatial distribution of synapse locations along the x -axis and z -axis, respectively. The single tick label denotes the maximum synapse count within 10 μm bins along the depicted axes. B , LFP response from TC input. C , Ground-truth CSD, filtered. Spatial resolution corresponded to the LFP recording, i.e., h z = 100 μm. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. D , Ground-truth CSDs calculated with increased spatial resolution ( h z = 20 μm), filtered. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. E , Deviations between ground-truth CSD ( C and D ) and δ-iCSD and spline-iCSD estimates as a function of source radius r CSD . The least-square error measure LS is defined in , and values are normalized such that the global minimum is 1 (occurring for the value of r CSD giving the best fit). Also shown is the correlation coefficient, i.e., Pearson product–moment correlation coefficient, cc , between ground-truth CSD and the iCSD estimates. F , Standard CSD estimate from model LFP in B . G , δ-iCSD method estimate based on model LFP in B , r CSD = 100 μm. H , Spline-iCSD method estimate based on model LFP in B , r CSD = 100 μm. I–L , δ-iCSD estimates for a set of different values for r CSD , i.e., 50, 200, 500 and 10 9 μm, respectively. The number and scale bar inside B–D and F–L describe the amplitude of the line plots. The number also gives the LFP or CSD values corresponding to ±1 of the color bar.
    Tcsd Estimation Methods, 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
    https://www.bioz.com/result/tcsd estimation methods/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    tcsd estimation methods - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Comparison of ground-truth CSD and CSD estimates from model LFPs. The tCSD and iCSD methods were applied to model LFPs corresponding to an RS-cell population. The LFPs resulted from a synapse distribution within a cylinder with r syn = h syn = 200 μm, and zero offset μ z . Synapses were activated at t = 0 ms, and other parameters were similar to the default parameters . The projection resulted in 666 postsynaptic neurons and 1758 dendritic synapses. A , Illustration of the postsynaptic RS-cell population and synapse positions. The scatter plots show the synaptic distributions projected in the xz and xy planes, respectively, with corresponding histograms of synaptic locations. Gray dots denote somas of neurons without synapses; black dots denote postsynaptic neurons; red dots denote the synapse locations. The histograms show the spatial distribution of synapse locations along the x -axis and z -axis, respectively. The single tick label denotes the maximum synapse count within 10 μm bins along the depicted axes. B , LFP response from TC input. C , Ground-truth CSD, filtered. Spatial resolution corresponded to the LFP recording, i.e., h z = 100 μm. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. D , Ground-truth CSDs calculated with increased spatial resolution ( h z = 20 μm), filtered. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. E , Deviations between ground-truth CSD ( C and D ) and δ-iCSD and spline-iCSD estimates as a function of source radius r CSD . The least-square error measure LS is defined in , and values are normalized such that the global minimum is 1 (occurring for the value of r CSD giving the best fit). Also shown is the correlation coefficient, i.e., Pearson product–moment correlation coefficient, cc , between ground-truth CSD and the iCSD estimates. F , Standard CSD estimate from model LFP in B . G , δ-iCSD method estimate based on model LFP in B , r CSD = 100 μm. H , Spline-iCSD method estimate based on model LFP in B , r CSD = 100 μm. I–L , δ-iCSD estimates for a set of different values for r CSD , i.e., 50, 200, 500 and 10 9 μm, respectively. The number and scale bar inside B–D and F–L describe the amplitude of the line plots. The number also gives the LFP or CSD values corresponding to ±1 of the color bar.

    Journal: The Journal of Neuroscience

    Article Title: Focal Local Field Potential Signature of the Single-Axon Monosynaptic Thalamocortical Connection

    doi: 10.1523/JNEUROSCI.2715-16.2017

    Figure Lengend Snippet: Comparison of ground-truth CSD and CSD estimates from model LFPs. The tCSD and iCSD methods were applied to model LFPs corresponding to an RS-cell population. The LFPs resulted from a synapse distribution within a cylinder with r syn = h syn = 200 μm, and zero offset μ z . Synapses were activated at t = 0 ms, and other parameters were similar to the default parameters . The projection resulted in 666 postsynaptic neurons and 1758 dendritic synapses. A , Illustration of the postsynaptic RS-cell population and synapse positions. The scatter plots show the synaptic distributions projected in the xz and xy planes, respectively, with corresponding histograms of synaptic locations. Gray dots denote somas of neurons without synapses; black dots denote postsynaptic neurons; red dots denote the synapse locations. The histograms show the spatial distribution of synapse locations along the x -axis and z -axis, respectively. The single tick label denotes the maximum synapse count within 10 μm bins along the depicted axes. B , LFP response from TC input. C , Ground-truth CSD, filtered. Spatial resolution corresponded to the LFP recording, i.e., h z = 100 μm. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. D , Ground-truth CSDs calculated with increased spatial resolution ( h z = 20 μm), filtered. The ground-truth CSDs correspond to a radius r Ω k = r syn = 200 μm. E , Deviations between ground-truth CSD ( C and D ) and δ-iCSD and spline-iCSD estimates as a function of source radius r CSD . The least-square error measure LS is defined in , and values are normalized such that the global minimum is 1 (occurring for the value of r CSD giving the best fit). Also shown is the correlation coefficient, i.e., Pearson product–moment correlation coefficient, cc , between ground-truth CSD and the iCSD estimates. F , Standard CSD estimate from model LFP in B . G , δ-iCSD method estimate based on model LFP in B , r CSD = 100 μm. H , Spline-iCSD method estimate based on model LFP in B , r CSD = 100 μm. I–L , δ-iCSD estimates for a set of different values for r CSD , i.e., 50, 200, 500 and 10 9 μm, respectively. The number and scale bar inside B–D and F–L describe the amplitude of the line plots. The number also gives the LFP or CSD values corresponding to ±1 of the color bar.

    Article Snippet: The implementations of the tCSD and iCSD estimation methods were ported from the Matlab toolbox CSDplotter ( ) to Python.

    Techniques: Comparison