Skip to main content

A brief overview of the Python programming language, with an emphasis on tools relevant to data scientists. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner
Duration: 1:16:36
Speaker: : Tal Yarkoni
Course:

Watch this video recap of a QBIN SciComm seminar that took place over Zoom on April 26, 2021. Nikola Stikov talks about the history and future of academic publishing and the need for transparency, and Agah Karakuzu gives a live demo of an alpha version of NeuroLibre, a preprint server that goes beyond the PDF to complement research articles.

Difficulty level: Beginner
Duration: 00:53:35
Speaker: :

As a part of NeuroHackademy 2021, Noah Benson gives an introduction to Pytorch, one of the two most common software packages for deep learning applications to the neurosciences.

Difficulty level: Beginner
Duration: 00:50:40
Speaker: :

In this hands-on tutorial, Dr. Robert Guangyu Yang works through a number of coding exercises to see how RNNs can be easily used to study cognitive neuroscience questions, with a quick demonstration of how we can train and analyze RNNs on various cognitive neuroscience tasks. Familiarity of Python and basic knowledge of Pytorch are assumed.

Difficulty level: Beginner
Duration: 00:26:38
Speaker: :