The Experts below are selected from a list of 2553 Experts worldwide ranked by ideXlab platform
Horn, Charles C. - One of the best experts on this subject based on the ideXlab platform.
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Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks 1.0
2018Co-Authors: Rosenberg, David M., Horn, Charles C.Abstract:This repository is associated with the following publication: ----------- Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks. *Journal of Neurophysiology* 2016 Apr 20:jn.00137.2016. doi: 10.1152/jn.00137.2016. https://www.ncbi.nlm.nih.gov/pubmed/27098025 ----------- Please see the above report for information on the notebooks and data. A temporary executable environment with working Jupyter notebooks can be initiated by clicking the Binder link in the GitHub repository https://github.com/cchorn/Neurophysiological-Analytics-for-All This work was supported by the National Institutes of Health (NIH), including the Stimulating Peripheral Activity to Relieve Conditions (SPARC) Program (award# U18EB021772) and a grant to the University of Pittsburgh Cancer Institute (award# P30CA047904, Cancer Center Support Grant). Usage Notes: * Running the Jupyter notebooks will produce output Files, including images, analyzed data, and shareable HTML copies of the notebooks, which are accessible by going to "Open ..." on the Jupyter File Menu. * The spike sorting notebook needs to be run before the spike train notebook, which depends on a spike timestamp output File. * For offline File usage, Python and R dependencies are listed in the README documents in the Supplement folders.
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Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks.
2018Co-Authors: Rosenberg, David M., Horn, Charles C.Abstract:(this is the original uploaded data; there is identical set of data uploaded using zenodo GitHub integration feature, https://zenodo.org/record/51140) This repository is associated with the following publication: ----------- Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks. *Journal of Neurophysiology* 2016 Apr 20:jn.00137.2016. doi: 10.1152/jn.00137.2016. https://www.ncbi.nlm.nih.gov/pubmed/27098025 ----------- Please see the above report for information on the notebooks and data. A temporary executable environment with working Jupyter notebooks can be initiated by clicking the Binder link in the GitHub repository https://github.com/cchorn/Neurophysiological-Analytics-for-All This work was supported by the National Institutes of Health (NIH), including the Stimulating Peripheral Activity to Relieve Conditions (SPARC) Program (award# U18EB021772) and a grant to the University of Pittsburgh Cancer Institute (award# P30CA047904, Cancer Center Support Grant). Usage Notes: * Running the Jupyter notebooks will produce output Files, including images, analyzed data, and shareable HTML copies of the notebooks, which are accessible by going to "Open ..." on the Jupyter File Menu. * The spike sorting notebook needs to be run before the spike train notebook, which depends on a spike timestamp output File. * For offline File usage, Python and R dependencies are listed in the README documents in the Supplement folders.
Rosenberg, David M. - One of the best experts on this subject based on the ideXlab platform.
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Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks 1.0
2018Co-Authors: Rosenberg, David M., Horn, Charles C.Abstract:This repository is associated with the following publication: ----------- Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks. *Journal of Neurophysiology* 2016 Apr 20:jn.00137.2016. doi: 10.1152/jn.00137.2016. https://www.ncbi.nlm.nih.gov/pubmed/27098025 ----------- Please see the above report for information on the notebooks and data. A temporary executable environment with working Jupyter notebooks can be initiated by clicking the Binder link in the GitHub repository https://github.com/cchorn/Neurophysiological-Analytics-for-All This work was supported by the National Institutes of Health (NIH), including the Stimulating Peripheral Activity to Relieve Conditions (SPARC) Program (award# U18EB021772) and a grant to the University of Pittsburgh Cancer Institute (award# P30CA047904, Cancer Center Support Grant). Usage Notes: * Running the Jupyter notebooks will produce output Files, including images, analyzed data, and shareable HTML copies of the notebooks, which are accessible by going to "Open ..." on the Jupyter File Menu. * The spike sorting notebook needs to be run before the spike train notebook, which depends on a spike timestamp output File. * For offline File usage, Python and R dependencies are listed in the README documents in the Supplement folders.
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Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks.
2018Co-Authors: Rosenberg, David M., Horn, Charles C.Abstract:(this is the original uploaded data; there is identical set of data uploaded using zenodo GitHub integration feature, https://zenodo.org/record/51140) This repository is associated with the following publication: ----------- Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks. *Journal of Neurophysiology* 2016 Apr 20:jn.00137.2016. doi: 10.1152/jn.00137.2016. https://www.ncbi.nlm.nih.gov/pubmed/27098025 ----------- Please see the above report for information on the notebooks and data. A temporary executable environment with working Jupyter notebooks can be initiated by clicking the Binder link in the GitHub repository https://github.com/cchorn/Neurophysiological-Analytics-for-All This work was supported by the National Institutes of Health (NIH), including the Stimulating Peripheral Activity to Relieve Conditions (SPARC) Program (award# U18EB021772) and a grant to the University of Pittsburgh Cancer Institute (award# P30CA047904, Cancer Center Support Grant). Usage Notes: * Running the Jupyter notebooks will produce output Files, including images, analyzed data, and shareable HTML copies of the notebooks, which are accessible by going to "Open ..." on the Jupyter File Menu. * The spike sorting notebook needs to be run before the spike train notebook, which depends on a spike timestamp output File. * For offline File usage, Python and R dependencies are listed in the README documents in the Supplement folders.
L I Jianzhong - One of the best experts on this subject based on the ideXlab platform.
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using vb to design File Menu
Yin Shan Acadimic Journal, 2000Co-Authors: L I JianzhongAbstract:The core of this program is to combine ShowOpen, ShowSave, Filename in CommonDialog control with Open, Print, Output, Close in Command and Kenwords. The former pop-up opening and saving dialog box, the latter complete that.
New Roman - One of the best experts on this subject based on the ideXlab platform.
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272 mm (7.36 " 10.71"). For correct settings of margins in the Page Setup dialog box (File Menu) see Table 1.
2014Co-Authors: Use Times, New RomanAbstract:line spacing (Standard;text tag). Use roman type ex-cept for the headings (Heading tags), parameters in mathematics (not for log, sin, cos, ln, max., d (in dx), etc), Latin names of species and genera in botany and zoology and the titles of journals and books which should all be in italics. Never use bold, except to denote vectors in mathematics. Never underline any text. Use the small font (10 points on 11 points) for tables (Table tags), figure captions (Figure cap-tion tag) and the references (Reference text tag). Never use letterspacing and never use more than one space after each other. 2 GETTING STARTED 2.1 Preparing the new File with the correct template Copy the template File BIC2012_template.dot (if you print on A4 size paper) to the template directory. This directory can be found by selecting the Tools Menu, Options and then by tabbing the File Loca-tions. When the Word programme has been started open the File Menu and choose New. Now select the template BIC2012_template.dot. Start by renaming the document by clicking Save As in the Menu Files. Name your File as follows: submission number should be the beginning of the File followed by last name of the corresponding author and then by the first three letter of the first words of the title of th
Use Times - One of the best experts on this subject based on the ideXlab platform.
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272 mm (7.36 " 10.71"). For correct settings of margins in the Page Setup dialog box (File Menu) see Table 1.
2014Co-Authors: Use Times, New RomanAbstract:line spacing (Standard;text tag). Use roman type ex-cept for the headings (Heading tags), parameters in mathematics (not for log, sin, cos, ln, max., d (in dx), etc), Latin names of species and genera in botany and zoology and the titles of journals and books which should all be in italics. Never use bold, except to denote vectors in mathematics. Never underline any text. Use the small font (10 points on 11 points) for tables (Table tags), figure captions (Figure cap-tion tag) and the references (Reference text tag). Never use letterspacing and never use more than one space after each other. 2 GETTING STARTED 2.1 Preparing the new File with the correct template Copy the template File BIC2012_template.dot (if you print on A4 size paper) to the template directory. This directory can be found by selecting the Tools Menu, Options and then by tabbing the File Loca-tions. When the Word programme has been started open the File Menu and choose New. Now select the template BIC2012_template.dot. Start by renaming the document by clicking Save As in the Menu Files. Name your File as follows: submission number should be the beginning of the File followed by last name of the corresponding author and then by the first three letter of the first words of the title of th