Embedded thumbnail for GLMsingle: a toolbox for improving single-trial fMRI response estimates
Recorded:
Apr 28, 2022
Uploaded:
May 2, 2022
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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...
Embedded thumbnail for ThreeDWorld (TDW) Tutorial
Recorded:
Apr 1, 2022
Uploaded:
April 13, 2022
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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...
Embedded thumbnail for Continuous-time deconvolutional regression: A method for studying continuous dynamics in naturalistic data
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Feb 28, 2022
Uploaded:
February 28, 2022
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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...
Embedded thumbnail for Tutorial: Recurrent neural networks for cognitive neuroscience
Recorded:
Aug 30, 2021
Uploaded:
August 30, 2021
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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...
Embedded thumbnail for suite2P: a fast and accurate pipeline for automatically processing functional imaging recordings
Recorded:
Jul 29, 2021
Uploaded:
August 9, 2021
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Speaker(s):
Carsen Stringer, HHMI Janelia Research Campus
The combination of two-photon microscopy recordings and powerful calcium-dependent fluorescent sensors enables simultaneous recording of unprecedentedly large populations of neurons. While these sensors have matured over several generations of...
Embedded thumbnail for Learning what we know and knowing what we learn: Gaussian process priors for neural data analysis
Recorded:
Jul 8, 2021
Uploaded:
July 12, 2021
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Speaker(s):
Guillaume Hennequin, Kris Jensen
Guillaume Hennequin, Kris Jensen - University of Cambridge Colab notebooks: Introduction to FA and GPFA as probabilistic generative models Fitting an example data set from a primate reaching task with GPFA Additional papers and resources...
Embedded thumbnail for Exiting flatland: measuring, modeling, and synthesizing animal behavior in 3D
Recorded:
Apr 8, 2021
Uploaded:
April 9, 2021
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Speaker(s):
Jesse Marshall, Harvard University
Mechanistic studies of complex, ethological animal behaviors are poised to define the next decade of neuroscience. Fully understanding the ontogeny, evolution, and neural basis of these behaviors requires precise 3D measurements of their underlying...
Embedded thumbnail for Linear Analysis of RNN Dynamics
Recorded:
Nov 19, 2020
Uploaded:
November 23, 2020
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Speaker(s):
Eli Pollock
Recurrent neural networks (RNNs) are a powerful model for neural and cognitive phenomena. However, interpreting these models can be a challenge. In this tutorial, we will discuss how dynamical systems theory provides some tools for understanding...
Embedded thumbnail for Nonlinear Dimensionality Reduction
Recorded:
Sep 22, 2020
Uploaded:
September 23, 2020
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Speaker(s):
Christian Bueno, University of California, Santa Barbara
Christian Bueno, University of California, Santa Barbara Working with lower dimensional representations of data can be valuable for simplifying models, removing noise, and visualization. When data is distributed in geometrically complicated ways,...
Embedded thumbnail for Using Lookit to run developmental studies online
Recorded:
Sep 3, 2020
Uploaded:
September 4, 2020
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CBMM Speaker(s):
Maddie Pelz
Lookit is an online platform for designing and running asynchronous developmental studies. This technology allows for more diverse and representative populations to participate in developmental studies than would typically be able to engage in the...

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