**This workshop has ended. View the recording here.**

Workshop 5: Optimizing the use of connectomic data to drive data science and scientific discovery

MARCH 31, 2021

Goal: To identify the current state of the art, challenges and opportunities in the analysis, interpretation, and dissemination of brain connectomic data. This workshop will focus on new analysis methods for partial, full and multiple connectomes emerging from a number of model systems, in addition to the problem of making connectomic data accessible to the community.

Draft Agenda: [Click here to download PDF version]

11:00 am ET

Welcome and Series Overview
John Ngai and Harriet Kung

11:10 am ET

Welcome and Introduction
Workshop Co-leads: Mala Murthy and Joshua T. Vogelstein

11:25 am ET

Workshop Logistics

11:30 am ET

Speaker Sessions

Each speaker will address seven questions:

  1. What scientific breakthroughs have analyses of connectomes already enabled?
  2. What current methods for analyses of connectomes are most promising?
  3. What new types of analyses (not developed yet) are needed to make progress and enable scientific breakthroughs?
  4. How do we integrate analyses across scales (from nano to micro to meso)?
  5. How do we integrate connectomic data with functional data?
  6. What types of data and analyses are needed to make interesting comparisons between connectomes?
  7. What kinds of infrastructure are needed to make connectomic data and analyses widely available to the neuroscience community?

11:30 am ET

Speaker Session 1 – Analysis of Partial and Full Connectomes

11:30 am ET

From the fly connectome to the mouse connectome
Greg Jefferis

11:40 am ET

How to simulate a connectome to gain a mechanistic understanding of neural computation
Srini Turaga

11:50 am ET

Learning representations of neural architecture across many spatial scales
Eva Dyer

12:00 pm ET

Lessons from analyzing navigational circuits in the Drosophila hemibrain connectome
Hannah Haberkern

12:05 pm ET

Neural network organization for courtship song feature detection in Drosophila
Christa Baker

12:10 pm ET

Ciona connectome analyses and considerations for the future
Kerrianne Ryan

12:15 pm ET

Whole-brain functional studies in C. elegans: A direct comparison of structure and function
Albert Lin

12:20 pm ET

Modularity and neural coding from a synaptic wiring diagram
Ashwin Vishwanathan

12:25 pm ET

Q&A Session

12:45 pm ET

Break

12:55 pm ET

Speaker Session 2 – Analysis of Multiple Connectomes

12:55 pm ET

From a developmental connectomics study: Analyses, Interpretations and Limitations
Mei Zhen

1:05 pm ET

Combining Connectomics with Functional Studies to Investigate Circuit Mechanisms of Learning and Action-Selection
Marta Zlatic

1:15 pm ET

Multiscale statistical learning for connectome data
Jesús Arroyo

1:25 pm ET

Optimization of the reliability of functional brain connectome
Ting Xu

1:35 pm ET

Network data science for bilateral brains: Applications in the larval Drosophila connectome
Benjamin Pedigo

1:45 pm ET

Q&A Session

2:05 pm ET

Break

2:15 pm ET

Session 3 – Making Connectomic Data Acessible to the Community

2:15 pm ET

Engineering the Future of Connectomics
Will Gray-Roncal

2:20 pm ET

Neuroscience research on the basis of whole-brain connectomics
Albert Cardona

2:25 pm ET

Continuous proofreading and analysis of large EM reconstructions
Sven Dorkenwald

2:30 pm ET

Exploring connectomes at varying levels of detail
Stephen Plaza

2:35 pm ET

The Brain Image Library: Designated Repository for NIH BRAIN Initiative Microscopy Data
Alexander Ropelewski

2:40 pm ET

Rubin Observatory – Astronomy Big Data
William O’Mullane

2:50 pm ET

Q&A Session

3:10 pm ET

Break

3:20 pm ET

Discussion Panel

Discussion Topic: Analyses of connectomes

Session Chairs: Mala Murthy, Joshua T. Vogelstein

Discussants: Sebastian Seung, Carey E. Priebe, Kim Stachenfeld, Alex Szalay, Rachel Wilson, Terry Sejnowski

4:20 pm ET

Workshop ends