Recorded:
Oct 9, 2024
Uploaded:
October 28, 2024
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All Captioned Videos, Computational Tutorials
Speaker(s):
Djuna von Maydell, MIT
Understanding how training data influences model predictions ("data attribution") is an active area of machine learning research. In this tutorial, we will introduce a data attribution method (datamodels: https://gradientscience.org/datamodels-1/)...
Recorded:
Nov 8, 2023
Uploaded:
November 16, 2023
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Valmiki Kothare, MIT.
BCS Computational Tutorial Series with Valmiki Kothare, MIT.
In this tutorial, we will use deep learning on EEG and EMG mice data to predict sleep stages (Wakefulness, REM, Non-REM). We will walk through an example Jupyter Notebook in which we load...
Recorded:
Apr 28, 2023
Uploaded:
May 4, 2023
Part of
Computational Tutorials
Speaker(s):
Ting Qian, Noah Nelson
Tutorial on FindingFive
FindingFive is a non-profit organization dedicated to supporting behavioral scientists’ web-based research by making it easy and cost-effective to implement experiments and collect data. With FindingFive, researchers can...
Recorded:
Dec 12, 2022
Uploaded:
December 16, 2022
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All Captioned Videos, Computational Tutorials
Speaker(s):
Yang Song, Stanford University
Generating data with complex patterns, such as images, audio, and molecular structures, requires fitting very flexible statistical models to the data distribution. Even in the age of deep neural networks, building such models is difficult because...
Recorded:
Nov 21, 2022
Uploaded:
November 22, 2022
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All Captioned Videos, Computational Tutorials
Speaker(s):
Sebastian Pineda, MIT
Tutorial on transcriptomic assays - TRAP and snRNA-seq sequencing with Sebastian Pineda
High-throughput sequencing assays have become ubiquitous and indispensable tools in molecular neurobiology. They provide a means to investigate gene expression,...
Recorded:
Oct 25, 2022
Uploaded:
November 8, 2022
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All Captioned Videos, Computational Tutorials
Speaker(s):
Heiko Schütt, NYU
Representational similarity analysis (RSA) is a popular method for comparing representations when a mapping between them is not available. One important comparison RSA is used for is between neuronal measurements and models of brain computation like...
Recorded:
Apr 28, 2022
Uploaded:
May 2, 2022
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All Captioned Videos, Computational Tutorials
Speaker(s):
Jacob Prince, MIT
Advances in modern artificial intelligence have inspired a paradigm shift in human neuroscience, yielding large-scale functional magnetic resonance imaging (fMRI) datasets that provide high-resolution brain responses to tens of thousands of...
Recorded:
Apr 1, 2022
Uploaded:
April 13, 2022
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All Captioned Videos, Computational Tutorials
Speaker(s):
Jeremy Schwatrz, Seth Alter,
In this tutorial, Jeremy Schwartz will walk us through the features and capabilities of ThreeDWorld, a high-fidelity, multi-modal platform for interactive physical simulation.
Next, Seth Alter will conduct a tutorial lab session.
The repository is...
Recorded:
Feb 28, 2022
Uploaded:
February 28, 2022
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Cory Shain, MIT
Abstract: Naturalistic experiments are of growing interest to neuroscientists and cognitive scientists. Naturalistic data can be hard to analyze because critical events can occur at irregular intervals, and measured responses to those events...
Recorded:
Aug 30, 2021
Uploaded:
August 30, 2021
Part of
Computational Tutorials
CBMM Speaker(s):
Guangyu Robert Yang
Robert Guangyu Yang, MIT
In this hands-on tutorial, we will work together through a number of coding exercises to see how RNNs can be easily used to study cognitive neuroscience questions. We will train and analyze RNNs on various cognitive...