SOCR News Neuromatch2.0 2020 - Revision history

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Dinov: Created page with "== SOCR News & Events: Neuromatch 2.0: Spacekime Analytics Short Talk== ==Logistics== Image:SOCR_UMich_2020a.png|150px|thumbnail|right| [http://socr.umich...."

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Created page with "== SOCR News & Events: Neuromatch 2.0: Spacekime Analytics Short Talk== ==Logistics== Image:SOCR_UMich_2020a.png|150px|thumbnail|right| [http://socr.umich...."

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== [[SOCR_News | SOCR News & Events]]: Neuromatch 2.0: Spacekime Analytics Short Talk==

==Logistics==
[[Image:SOCR_UMich_2020a.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]]
* '''Event''': [https://neuromatch.io/instructions/ Neuromatch 2.0 Unconference]
* '''Date/Time''': Wednesday, May 27, 2020, 1PM US ET (GMT-4)
* '''Neuromatch Registration''': [https://www.crowdcast.io/e/neuromatch2/register Neuromatch Registration]
* '''Crowdcast''': [https://www.crowdcast.io/e/neuromatch2 Neuromatch Crowdcast]
* '''Schedule''': [https://docs.google.com/spreadsheets/d/1UxEQeCjaoUwlgH44GRIDhSEz-duScsXwVnthlTBX4UA/ Neuromatch 2.0 Unconference Program]
* '''Title''': ''Computational Neuroscience, Time Complexity, and Spacekime Analytics''
* '''Presenter''': [http://umich.edu/~dinov Ivo Dinov]

== Abstract==

The immersion of Big Data in all human experiences presents important challenges of managing, modeling, analyzing, interpreting, and visualizing complex information. There is a substantial need to develop, validate, productize, and support novel mathematical techniques, advanced statistical computing algorithms, transdisciplinary tools, and effective artificial intelligence apps.

Spacekime analytics is a new technique for modeling high-dimensional longitudinal data such as functional magnetic resonance imaging (fMRI). This approach relies on extending the notions of time, events, particles, and wavefunctions to complex-time (kime), complex-events (kevents), data and inference-functions. We will illustrate how the kime-magnitude (longitudinal time order) and kime-direction (phase) affect the subsequent predictive analytics and the induced scientific inference. The mathematical foundation of spacekime calculus will reveal various statistical implications including inferential uncertainty and a Bayesian formulation of spacekime analytics. Complexifying time allows the lifting of all commonly observed processes from the classical 4D Minkowski spacetime to a 5D spacetime manifold, where a number of interesting mathematical problems arise.

Direct neuroscience science applications of spacekime analytics will be demonstrated using simulated data and clinical observations (e.g., UK Biobank).

* Joint work with Milen V. Velev (Burgas University, Bulgaria).

==Demos==

* [https://www.socr.umich.edu/spacekime/ Spacekime website]
* [http://tciu.predictive.space/ Time-Complexity and Inferential Uncertainty (TCIU)]

<hr>

==References==
* This work is sponsored in part by NIH Grants [http://projectreporter.nih.gov/project_info_details.cfm?aid=8975330&icde=25689118 P30 DK089503], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8821268&icde=22205726 P20 NR015331], [https://projectreporter.nih.gov/project_info_description.cfm?aid=9816658 R01CA233487], and [https://projectreporter.nih.gov/project_info_details.cfm?aid=9842024 R01MH121079], as well as, NSF Grants [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1916425 1916425], [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1734853 1734853] and [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1636840 1636840].
* Dinov, ID and Velev, MV (2021) [https://www.degruyter.com/view/title/576646 Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics], De Gruyter (STEM Series), Berlin/Boston, ISBN 9783110697803 / 3110697807.
* SOCR Home page: http://www.socr.umich.edu

==See also==
* [http://socr.umich.edu/HTML5/ General SOCR Webapps]
* [http://socr.umich.edu/HTML5/BrainViewer/ SOCR BrainViewer]
* [https://socr.umich.edu/HTML5/MotionChart/ Motion Charts webapp] (try it with your own high-dimensional longitudinal data, e.g., [https://wiki.socr.umich.edu/index.php/SOCR_Data_121608_OzoneData Ozone Data])
* [http://socr.umich.edu/HTML5/SOCR_TensorBoard_UKBB/ Hands-on interactive visualization of extremely high-dimensional data (learning module and webapp)]
** [http://socr.umich.edu/HTML5/SOCR_TensorBoard_UKBB/UsersData.html Country Ranking study]
** [http://socr.umich.edu/CSCD/html/Cores/Macore2/CSCD_SOCR_Diabetes_CaseStudy/ Diabetes Case-Study]
* [http://myumi.ch/O49zG Predicting Hospitalization-based Pressure Injuries (webapp)]
* [http://myumi.ch/qgY7v Virtual Hospital and Simulated Patient EHR Data (webapp)]

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 * '''Date/Time''': Wednesday, May 27, 2020, 1:40 PM US ET (GMT-4)
 * '''Neuromatch  Registration''': [https://www.crowdcast.io/e/neuromatch2/register Neuromatch Registration]
-* '''Crowdcast''': [https://www.crowdcast.io/e/neuromatch2 Neuromatch Crowdcast], [https://www.crowdcast.io/e/neuromatch2/28 Session 28]
+* '''Crowdcast''': [https://www.crowdcast.io/e/neuromatch2 Neuromatch Crowdcast], [https://www.crowdcast.io/e/neuromatch2/47 Session 47 (Webcast)]
 * '''Schedule''': [https://docs.google.com/spreadsheets/d/1UxEQeCjaoUwlgH44GRIDhSEz-duScsXwVnthlTBX4UA/ Neuromatch 2.0 Unconference Program]
 * '''Title''':  ''Computational Neuroscience, Time Complexity, and Spacekime Analytics''

@@ Line 11: / Line 11: @@
 * '''Title''':  ''Computational Neuroscience, Time Complexity, and Spacekime Analytics''
 * '''Presenter''':  [http://umich.edu/~dinov Ivo Dinov]
 == Abstract==

@@ Line 5: / Line 5: @@
 [[Image:SOCR_UMich_2020a.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]]
 * '''Event''': [https://neuromatch.io/instructions/ Neuromatch 2.0 Unconference]
-* '''Date/Time''': Wednesday, May 27, 2020, 1PM US ET (GMT-4)
+* '''Date/Time''': Wednesday, May 27, 2020, 1:40 PM US ET (GMT-4)
 * '''Neuromatch  Registration''': [https://www.crowdcast.io/e/neuromatch2/register Neuromatch Registration]
 * '''Crowdcast''': [https://www.crowdcast.io/e/neuromatch2 Neuromatch Crowdcast], [https://www.crowdcast.io/e/neuromatch2/28 Session 28]