2015-16: CCNS: Workshop on Optical Imaging Data Analysis: February 1-2, 2016

Location

This workshop was held at SAMSI in RTP.  It was by invitation only.

Description

Optical imaging is widely considered the most promising technology to achieve the aims of the BRAIN initiative. New indicators of neural activity are being developed every year, and imaging technology improves continually. These data will revolutionize neuroscience, just as microarrays revolutionized genomics, and should be similarly fruitful as a stimulus to innovation in statistics. Nevertheless there are almost no statisticians currently working with these data, both because these data are unfamiliar and are harder to access. This workshop would aim to introduce many statisticians to these data and present the major issues at present and expected in the near future.

The objectives are to introduce statisticians to the characteristics of optical technologies and to the kinds of statistical questions that are pressing now and may be appearing in the near future and to stimulate discussion about promising approaches to the largely unsolved statistical challenges of the new high-throughput optical data.

Questions: email [email protected]

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Schedule and Supporting Media

Participant List

Monday, February 1, 2016
at SAMSI

Time	Description	Speaker	Slides	Videos
9:00-9:15	Opening Remarks	Mark Reimers, Michigan State University
9:15-10:00	Neuroscience Questions Opened up by Optical Imaging	Bruce McNaughton, University of California, Irvine
10:00-11:00	Session 1: Optical Technologies and Experiments	Yiyang Gong, Duke University
10:40-11	Break
11:00-12:30	Session 1 (continued): Optical Technologies and Experiments, Strategies for Large-scale Calcium Imaging in the Mouse Brain	Matthew Valley, Allen Institute for Brain Science and Dieter Jaeger, Emory University
12:30-1:30	Lunch
1:30-3:00	Session 2: Pre-processing Issues Part I: Calcium Imaging Brief Reports and Issues Dynamic Linear Models for Neuronal Optical Images Traces from Calcium-sensitive Dyes Can We Extract Neuropil Signal Automatically?	Eftychios Pnevmatikakis, Simons Foundation Michael Lavine, University of Massachusetts, Amherst Valentina Staneva, University of Washington Pengcheng Zhou, Carnegie Mellon University
3:00-3:20	Break
3:20-5:00	Session 2: Pre-processing Issues (continued) Part II: Voltage Imaging Linear Model Decomposition for Voltage-sensitive Dye Imaging Signals: application on awake monkey Brief Reports and Issues	Alexandre Reynaud, McGill University Ming Yan, Michigan State University Mark Reimers, Michigan State University
5:00-5:30	Working Groups
5:30-7:00	Reception (2nd Fl Commons) and Software Tutorials (Room 150)

Tuesday, February 2, 2016

at SAMSI

Time	Description	Speaker	Slides	Videos
9:00-10:15	Session 3: Handling Big Data Brief Reports and Issues Challenges and Opportunities in Scalable Analysis of Neural Imaging Data	Jason Wittenbach, HHMI Janelia Farm Ming Yan, Michigan State University
10:15-10:45	Break
10:45-12:15	Session 4: Network and Connectivity Analysis Brief Reports and Issues	Yu Hu, Harvard University Yuying Xie, Michigan State University Mark Reimers, Michigan State University
12:15-1:15	Lunch
1:15-2:45	Space Dynamics Brief Reports and Issues Determining the Dimensionality of Brain-wide Activity from Calcium Imaging Data	Kathleen Champion, University of Washington Mark Reimers, Michigan State University Casey Diekman, New Jersey Institute of Technology Grace Hong, Michigan State University
2:45-3:00	Break
3:00	Wrap-up Discussion Note: Most sessions will begin with a 35-min talk with 10 min questions by a leading speaker, and continue with several 5-10 min brief reports, and selected discussion questions.