[visionlist] Workshop @VSS: Easy computational neuroimaging and teaching

Mark Schira mark.schira at gmail.com
Wed May 1 19:23:18 -05 2024


*Workshop on Open and Reproducible Neuroimaging Software at the Vision
Sciences Society’s 2024 Meeting*

How to Stop Worrying and Love Computational Neuroimaging of the Visual
Cortex at this year’s VSS meeting in St. Pete Beach, FL. The workshop is a
VSS satellite event that will introduce participants to a variety of open
source software tools that make reproducible computational neuroimaging and
teaching easy. The workshop will discuss fMRIprep, BIDS, Neurodesk,
population receptive field (PRF) modeling tools, and machine learning
techniques including CNNs. Lectures will focus on live-coding examples of
the relevant software tools when possible, and all participants will be
given access to a shared compute environment that includes all discussed
software and numerous tutorials.

A small registration fee is required to help offset costs for the compute
environment, which will remain available to participants for one month
following the VSS conference. The workshop will not be live-streamed but
materials will be made public after the event.

[image: image.png]

The workshop will consist of three sessions with short breaks between:

Mark Schira will discuss the use of reproducible software tools for lab
management, classroom settings, and high performance compute clusters. Mark
will demonstrate the Neurodesk platform, which drastically simplifies the
management, installation, versioning, and use of numerous open source
neuroimaging software tools across environments.
Noah C. Benson will walk through the processing of visual MRI data using
fMRIprep, BIDS, and Python tools for visualization, analysis, and
annotation of cortical surface data. Noah will demonstrate these tools in
live-coded examples in which a pipeline is established from start to finish
for examining data from visual MRI experiments.
Fernanda L. Ribeiro will discuss and demonstrate machine learning tools,
including convolutional neural networks (CNNs), that model complex
relationships in visual data.
More information, including advice on preparing for the workshop, can be
found on the website. Please contact nben at uw.edu mark.schira at gmail.com or
felenita.ribeiro at gmail.com with any questions.


-- 
Mark M. Schira, Ph.D.
Senior Lecturer, University of Wollongong
Senior Research Officer, Neuroscience Research Australia
office:+ 61 (0) 2 4239-2501
mobile: +61 (0) 4059 54853
https://schiralab.com/
https://orcid.org/0000-0002-7945-0498
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