Dear FUN colleagues,

This year's teaching workshop at the SfN annual meeting is on "Teaching Computation in Neuroscience." It is scheduled for Monday, October 21, 2019 in room N227 from 12-2 pm. The online meeting planner provides only minimal information about the workshop, so Bill Grisham and I are listing the speakers and topics here. It's a great topic (thanks to Bill), and we hope many FUN members will attend the session.

Teaching Computation in Neuroscience

The workshop will review current examples of teaching computation for neuroscience. It will begin with the statistical foundations that students need and consider which programming languages are most useful. It will continue with computational methods for physiological data, practical aspects of teaching computational neuroscience, and end with an overview of resources for teaching and learning computational modeling in neuroscience.

Speakers and Topics:

An overview of computation in neuroscience: William Grisham, Department of Psychology, UCLA

Statistical background for computational neuroscience: Robert Kass, Statistics, Computational Neuroscience, and Biomedical Engineering, Carnegie Mellon University

Teaching a programming language: MATLAB or Python?: Pascal Wallisch, Department of Psychology, NYU

Computation for processing physiological data: Adrienne Fairhall, Physiology and Biophysics, University of Washington

Teaching a computational neuroscience course: Walter Babiec, Neuroscience Interdepartmental Program, UCLA

Resources for teaching computational neuroscience and big data: Mathew Abrams, International Neuroinformatics Coordinating Facility, Stockholm


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Richard F Olivo, PhD
Professor of Biological Sciences and Neuroscience, Smith College
Founding Editor, Educational Resources (ERIN), Society for Neuroscience
       44 College Lane, Smith College, Northampton MA 01063
       413 585-3822 http://tinyurl.com/bio300
 rolivo@smith.edu