\( \def\RR{\bf R} \def\real{\mathbb{R}} \def\bold#1{\bf #1} \def\d{\mbox{Cord}} \def\hd{\widehat \mbox{Cord}} \DeclareMathOperator{\cov}{cov} \DeclareMathOperator{\var}{var} \DeclareMathOperator{\cor}{cor} \newcommand{\ac}[1]{\left\{#1\right\}} \DeclareMathOperator{\Ex}{\mathbb{E}} \DeclareMathOperator{\diag}{diag} \)
From Big Data to Knowledge:
Brain, Twitter, and Beyond
Xi (Rossi) Luo
Brown University
Department of Biostatistics
Center for Statistical Sciences
Computation in Brain and Mind
Brown Institute for Brain Science
Brown University, ADOCH
April 20, 2016
Slides at bit.ly/xl160420
Big Data and Brain
- 100 million (
$10^{11}$) neurons
- 100 trillion (
$10^{14}$) neuronal connections
fMRI data: blood-oxygen-level dependent (BOLD) signals from each
cube/voxel (~millimeters),
$10^5$ ~ $10^6$ voxels in total.
Complex Data: fMRI Studies
Time 1
2
…
~200
⋮
…
⋮
…
Large, multilevel (subject, sess, voxel) data
$100 \times 4 \times 300 \times 10^6 \approx 100 $ billion data points
Predicting Cocaine Relapses
Image: Luo et al, 13
Complex Models: Brain Networks
Find brain networks with 1 trillion (
$10^{12}$) possible connections
Image: Liu and Luo, 15
Course: Stat Methods for Big Data
Applied Mathematics + Computer Science + Statistics
Thanks to the support of Office of the Provost, the Sheridan Center, and School of Professional Studeis
Case Study: Twitter
Hillary Clinton
Bernie Sanders
Imge: wikipedia
Excerpt of Data
Jaime Zhang, student in SMBD
Statistical test: $p<10^{-4}$
Jaime Zhang, student in SMBD
Summary
- Handle big data
- Complex mathematical modeling
- Extract knowledge from data
- Course SMBD covers the above points
Thank you!
BigComplexData.com