Neural Data Science
July 13 - 26, 2019
Application Deadline: April 1, 2019

Instructors:

Marius Pachitariu, HHMI Janelia
Mark Reimers, Michigan State University
Pascal Wallisch, New York University

Co-Instructors:

Kathryn Bonner, New York University
Carsen Stringer, HHMI Janelia

See the Roll of Honor - who's taken the course in the past

Today's technologies enable neuroscientists to gather data in previously unimagined quantities. This necessitates - and allows for - the development of new analysis methods to address dynamic systems function of brain networks.

This course is designed to help neuroscience practitioners to develop the conceptual and practical capabilities to meet the challenges posed by the analysis of these hard-won and large data-sets. We will emphasize statistical issues such as the pre-processing of data, sampling biases, estimation methods and hypothesis testing as well as data wrangling (in MATLAB). We will work with data from a variety of recording technologies including single- and multi-electrode extracellular recordings, local field potentials and EEG as well as two-photon and wide-field optical imaging.

The course will give a solid conceptual and technical grounding in widely applicable methods such as:

  • Spectral analysis
  • Multivariate analysis
  • Network inference
  • Methods specific to each recording technique.
  • How to integrate neural data with behavioral data
The workshop will proceed in a seminar style, guided by leading neural data analysts, with demonstrations and practical lab data analysis exercises supervised by instructors.

2019 Speakers:

Michael X. Cohen, University of Amsterdam
Konrad Kording, University of Pennsylvania
Loren Looger, HHMI Janelia
Alexander Mathis, Harvard University
Majid Mohajerani, Canadian Center for Behavioral Neuroscience
Liam Paninski ,  Columbia University
Jonathan W. Pillow, Princeton University
Cristina Savin, New York University
Matthew A. Smith, University of Pittsburgh
Nick Steinmetz,  University of Washington
Karel Svoboda, HHMI Janelia

The course is aimed primarily at advanced grad students and early postdocs, and will be held at the Laboratory’s Banbury Conference Center located on the north shore of Long Island. All participants stay within walking distance of the Center, close to tennis court, pool and private beach. The workshop will begin on the morning of July 13 (students are expected to arrive on the afternoon or evening of July 12) and end by lunchtime on July 26.

The course may be supported with funds provided by: Helmsley Charitable Trust. Grant funds may be used to defray student tuition, room and board costs, subject to financial need.

Cost (including board and lodging): $3,255

No fees are due until you have completed the full application process and are accepted into the course.

Before applying, ensure you have:
  1. Personal statement/essay;
  2. Letter(s) of recommendation;
  3. Curriculum vitae/resume;
  4. Financial aid request (optional).
    More details.

If you are not ready to fully apply but wish to express interest in applying, receive a reminder two weeks prior to the deadline, and tell us about your financial aid requirements, click below: