Spotlight on Science Meetings, Conferences and Events brings you information on the following event: Neural Data Analysis
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. There will be an emphasis on statistical issues such as the pre-processing of data, sampling biases, estimation methods and hypothesis testing as well as data wrangling (in MATLAB). Attendees 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 as well as methods specific to each recording technique.
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.
Danielle Bassett, University of Pennsylvania
Matteo Carandini, University College London
Michael X. Cohen, University of Amsterdam
David Kleinfeld, University of California - San Diego
Konrad Kording, Northwestern University Feinberg School of Medicine
Majid Mohajerani, Canadian Center for Behavioral Neuroscience
Marius Pachitariu, University College London
Jonathan W. Pillow, Princeton University
Eftychios A. Pnevmatikakis, Simons Center for Data Analysis, Simons Foundation
Matthew A. Smith, University of Pittsburgh
The course is aimed primarily at advanced grad students and early postdocs, and may be supported with funds provided by the Helmsley Charitable Trust. Grant funds may be used to defray student tuition, room and board costs, subject to financial need.
Cold Spring Harbor Laboratory - Banbury Conference Center
Cold Spring Harbor, NY
Phone: (516) 367-8346
Saturday, July 15, 2017 to Friday, July 28, 2017