2019 Schedule

7:00am

Breakfast

9:00am

Introduction to NeuroHackademy

Ariel Rokem

Tal Yarkoni

10:40am

Coffee break

11:00am

Reproducibility in fMRI: What is the problem?

Russell Poldrack

12:00pm

Lunch

1:00pm

The FAIR principles

Maryann Martone

2:00pm

Collaborating with git and GitHub

Elizabeth DuPre

2:00pm

Docker

Anisha Keshavan

2:30pm

Coffee break

5:00pm

Office hours

6:00pm

Welcome reception + dinner

7:00am

Breakfast

9:00am

Plumbing the Intertubes: A Hitchhiker’s Guide to Information Filtering

Satra Ghosh

10:00am

Introduction to Python

Tal Yarkoni

10:00am

Building Python libraries

Ariel Rokem

10:40am

Coffee break

12:00pm

Lunch

1:00pm

Numerical computing in Python

JB Poline

1:00pm

High-performance Python

Ariel Rokem

2:30pm

Coffee break

3:00pm

Data visualization

Kirstie Whitaker

3:00pm

Browser-based visualization with Javascript

Anisha Keshavan

4:00pm

Model-based fMRI and HCP data

Noah Benson

5:00pm

Office hours

6:00pm

Poster session

7:00am

Breakfast

9:00am

Measuring human functional brain networks

Caterina Gratton

9:50am

Functional brain parcellation

Pierre Bellec

10:40am

Coffee break

11:00am

Neuroethics

Blaise Agüera y Arcas

12:00pm

Lunch

1:00pm

Machine learning with Scikit Learn

Tal Yarkoni

2:30pm

Coffee break

4:00pm

BIDS

Kirstie Whitaker

4:00pm

Jupyterlab and Binder

Elizabeth DuPre

5:00pm

Office hours

7:00am

Breakfast

9:00am

Open datasets for Neurohacking

Chris Gorgolewski

10:40am

Coffee break

11:00am

Meta-analysis and reproducibility

Angela Laird

12:00pm

Lunch

1:00pm

Optimization (ADSI)

Sasha Aravkin

1:00pm

Docker

Chris Gorgolewski

2:30pm

Coffee break

3:00pm

Optimization (ADSI)

Sasha Aravkin

Peng Zheng

3:00pm

Cloud computing

Amanda Tan

Ariel Rokem

5:00pm

Office hours

7:00am

Breakfast

9:00am

The difference between prediction and explanation

Jeanette Mumford

9:50am

Evil p values

JB Poline

10:40am

Coffee break

11:00am

Finding low-dimensional structure in large-scale neural recordings

Eva Dyer

12:00pm

Lunch

1:00pm

Nipype

Satra Ghosh

1:00pm

Optimal transport (ADSI)

Zaid Harchaoui

2:30pm

Coffee break

3:00pm

Deep learning

Ariel Rokem

3:00pm

Optimal transport (ADSI)

Zaid Harchaoui

5:00pm

Office hours

7:00am

Breakfast

9:00am

Project pitches

10:40am

Coffee break

11:00am

Team formation and project scoping

12:00pm

Lunch

1:00pm

Hack session

2:30pm

Coffee break

3:00pm

Hack session

5:00pm

Breakout sessions

7:00am

Breakfast

9:00am

Hack session

10:40am

Coffee break

11:00am

Hack session

12:00pm

Lunch

1:00pm

Hack session

2:30pm

Coffee break

3:00pm

Hack session

5:00pm

Breakout sessions

7:00am

Breakfast

9:00am

Hack session

10:40am

Coffee break

11:00am

Hack session

12:00pm

Lunch

1:00pm

Hack session

2:30pm

Coffee break

3:00pm

Hack session

5:00pm

Breakout sessions

7:00am

Breakfast

9:00am

Hack session

10:40am

Coffee break

11:00am

Hack session

12:00pm

Lunch

1:00pm

Hack session

2:30pm

Coffee break

3:00pm

Hack session

5:00pm

Breakout sessions

7:00am

Breakfast

9:00am

Hack session

10:40am

Coffee break

11:00am

Presentation preparation

12:00pm

Lunch

1:00pm

Project presentations

2:30pm

Coffee break

3:00pm

Project presentations (continued)

6:00pm

Farewell party