July 7 - 21, 2025
Key Dates
Application Deadline: March 15, 2025
Arrival: July 7th by 6pm EST
Departure: July 21st around 12pm EST
The course will be held at the Laboratory's Banbury Conference Center located on the north shore of Long Island. CSHL Courses are intensive, running all day and often including evenings and weekends; students are expected to attend all sessions and reside on campus for the duration of the course.
Instructors
Pascal Wallisch, New York University
Hadas Benisty, Technion Israel Institute of Technology. Israel
Mark Reimers, Michigan State University
Jennifer Sun, University College London, UK
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 and Python). 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 course will proceed in a seminar style, guided by leading neural data analysts, with demonstrations and practical lab data analysis exercises supervised by instructors.
Michael X. Cohen, University of Amsterdam, The Netherlands
Jessica Cardin, Yale University
Tatiana Engel, Princeton University
Ann Kennedy, Northwestern University
Marius Pachitariu, HHMI Janelia
Alex Williams, New York University / Flatiron Institute
Dimitri Yatsenko, DataJoint
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 course is supported with funds provided by: . Grant funds will be used to defray student tuition, room and board costs, subject to financial need.
Cost (including board and lodging): $4,650 USD
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).
More details.