Course or series
Brain and Cognitive Sciences Computational Tutorial Series
MIT OpenCourseWare
Optimizing the Full Stack for Generative Image and Video Models
“Optimizing the Full Stack for Generative Image and Video Models” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Normalization Models of Attention
“Normalization Models of Attention” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Identifying Subgroups in Biomedical Datasets using Data Attribution
“Identifying Subgroups in Biomedical Datasets using Data Attribution” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Building and Training Deep Learning Models in PyTorch
“Building and Training Deep Learning Models in PyTorch” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
FindingFive: An Online, Non-Profit Platform for Behavioral Research
“FindingFive: An Online, Non-Profit Platform for Behavioral Research” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Diffusion and Score-Based Generative Models
“Diffusion and Score-Based Generative Models” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Cell-Type Specific Transcriptomics
“Cell-Type Specific Transcriptomics” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Tutorial on Statistical Inference on Representational Geometries
“Tutorial on Statistical Inference on Representational Geometries” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
GLMsingle: A Toolbox for Improving Single-Trial fMRI Response Estimates
“GLMsingle: A Toolbox for Improving Single-Trial fMRI Response Estimates” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
ThreeDWorld (TDW) Tutorial
“ThreeDWorld (TDW) Tutorial” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Continuous-Time Deconvolutional Regression: A Method for Studying Continuous Dynamics in Naturalistic Data
“Continuous-Time Deconvolutional Regression: A Method for Studying Continuous Dynamics in Naturalistic Data” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Recurrent Neural Networks for Cognitive Neuroscience
“Recurrent Neural Networks for Cognitive Neuroscience” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Suite2P: A Fast and Accurate Pipeline for Automatically Processing Functional Imaging Recordings
“Suite2P: A Fast and Accurate Pipeline for Automatically Processing Functional Imaging Recordings” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Learning What We Know and Knowing What We Learn: Gaussian Process Priors for Neural Data Analysis
“Learning What We Know and Knowing What We Learn: Gaussian Process Priors for Neural Data Analysis” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Exiting Flatland: Measuring, Modeling, and Synthesizing Animal Behavior in 3D
“Exiting Flatland: Measuring, Modeling, and Synthesizing Animal Behavior in 3D” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Linear Analysis of RNN Dynamics
“Linear Analysis of RNN Dynamics” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Nonlinear Dimensionality Reduction
“Nonlinear Dimensionality Reduction” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Using Lookit to Run Developmental Studies Online
“Using Lookit to Run Developmental Studies Online” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Adversarial Examples and Human-ML Alignment
“Adversarial Examples and Human-ML Alignment” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Decoding Animal Behavior Through Pose Tracking
“Decoding Animal Behavior Through Pose Tracking” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Principles and Applications of Relational Inductive Biases in Deep Learning
“Principles and Applications of Relational Inductive Biases in Deep Learning” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Bayesian Inference in Generative Models
“Bayesian Inference in Generative Models” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Unsupervised Discovery of Temporal Sequences in High-Dimensional Datasets
“Unsupervised Discovery of Temporal Sequences in High-Dimensional Datasets” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Calcium Imaging Data Cell Extraction
“Calcium Imaging Data Cell Extraction” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Reinforcement Learning
“Reinforcement Learning” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Better Science Code
“Better Science Code” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
An Introduction to LSTMs in TensorFlow
“An Introduction to LSTMs in TensorFlow” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
An Introduction to Spike Sorting
“An Introduction to Spike Sorting” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare · Source-checked annotation
Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
André Bastos introduces electrophysiological connectivity measures and demonstrates interpretational problems involving common signals, noise, field spread and sample size.
MIT OpenCourseWare
Dynamical Systems in Neuroscience
“Dynamical Systems in Neuroscience” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Dimensionality Reduction II
“Dimensionality Reduction II” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Dimensionality Reduction I
“Dimensionality Reduction I” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Learning in Deep Neural Networks
“Learning in Deep Neural Networks” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Learning in Recurrent Neural Networks
“Learning in Recurrent Neural Networks” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.
MIT OpenCourseWare
Bayesian Methods: Brain and Cognitive Perspectives
“Bayesian Methods: Brain and Cognitive Perspectives” is listed in Brain and Cognitive Sciences Computational Tutorial Series. Its place in the course provides the learning context; an individual account of the lecture's content has not yet been checked.