47:21

Cluster computing and OpenMind [part 1]

MITCBMM

45:52

Cluster computing and OpenMind [part 2]

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31:31

Dimensionality Reduction I

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29:55

Dimensionality Reduction II

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34:13

Dynamical Systems in Neuroscience

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1:26:26

Learning in deep neural networks

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1:16:40

Learning in recurrent neural networks

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1:14:00

Bayesian methods: brain and cognitive perspectives

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1:46:42

A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls

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33:34

Working on the OpenMind Computing Cluster

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1:04:49

Singularity on OpenMind

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1:54:31

An Introduction to Spike Sorting

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59:46

An Introduction to LSTMs in Tensorflow

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43:44

Computational Tutorial: Better Science Code

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1:09:49

Reinforcement Learning

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1:07:57

Calcium Imaging Data Cell Extraction

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53:37

Dimensionality Reduction for Matrix- and Tensor-Coded Data [Part 1]

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46:06

Dimensionality Reduction for Matrix- and Tensor-Coded Data [Part 2]

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1:14:25

Unsupervised discovery of temporal sequences in high-dimensional datasets

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49:46

Bayesian Inference in Generative Models

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1:50:03

Neural decoding of spike trains and local field potentials with machine learning in python

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36:47

Principles and applications of relational inductive biases in deep learning

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1:21:27

Decoding Animal Behavior Through Pose Tracking

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1:21:56

Adversarial examples and human-ML alignment

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1:19:12

Using Lookit to run developmental studies online

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1:24:51

Nonlinear Dimensionality Reduction

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1:11:23

Linear Analysis of RNN Dynamics

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1:23:18

Exiting flatland: measuring, modeling, and synthesizing animal behavior in 3D

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1:30:42

Learning what we know and knowing what we learn: Gaussian process priors for neural data analysis

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1:18:02

suite2P: a fast and accurate pipeline for automatically processing functional imaging recordings

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26:39

Tutorial: Recurrent neural networks for cognitive neuroscience

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1:14:21

Continuous-time deconvolutional regression: A method for studying continuous dynamics in naturali...

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1:12:05

ThreeDWorld (TDW) Tutorial

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1:14:59

GLMsingle: a toolbox for improving single-trial fMRI response estimates

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1:59:06

Tutorial on Statistical Inference On Representational Geometries

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1:52:46

Cell Type-Specific Transcriptomics

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1:32:01

Diffusion and Score-Based Generative Models

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1:26:18

FindingFive: An online, non-profit platform for behavioral research

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1:15:46

Building and Training Deep Learning Models in PyTorch

MITCBMM

1:17:40

Identifying Subgroups in Biomedical Datasets using Data Attribution

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1:10:34

Normalization models of attention

MITCBMM