Marius Pachitariu, HHMI Janelia
Mark Reimers, Michigan State University
Pascal Wallisch, New York University
Kathryn Bonnen, New York University
Madineh Sarvestani, Max Planck Florida Institute for Neuroscience
Carsen Stringer, HHMI Janelia
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 multi-electrode array 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:
- Data Processing for each recording technique
- Spectral Methods
- Neural Population analysis
- Behavioral analysis
- 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.
Megan Carey, Champalimaud Center for the Unknown
Michael X. Cohen, University of Amsterdam
Saskia de Vries, The Allen Institute
Tatiana Engel, Cold Spring Harbor Laboratory
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
Byron Yu, Carnegie Mellon University
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. Please contact the Course Registrar with all accessibility needs, and/or note them in your course application form. 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 is supported with funds provided by: Helmsley Charitable Trust. Grant funds will be used to defray student tuition, room and board costs, subject to financial need.
Cost (including board and lodging): $3,955
No fees are due until you have completed the full application process and are accepted into the course.
Before applying, ensure you have:
- Personal statement/essay;
- Letter(s) of recommendation;
- Curriculum vitae/resume;
- Financial aid request (optional).