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About Brain Code Camp

General Information

Office Hour Schedule
Staff
Office Hour Teams
Datasets
Graduation Requirements
Projects

Brain Building Blocks

Welcome to the Brain!
Neuroscience Methods
Brain & Behaviors
Brain Signals
Models of the Mind
Data Modeling
Neuro & AI
Medical Applications
- Diagnosis and Monitoring
- Computational Neuropsychiatry
Social Applications
- Brain Computer Interface

Prerequisites

Prerequisites: From BBB to BCC
Prerequisites: Coding
- Introduction to Python
- NumPy

Welcome to Brain Code Camp! (Week 1)

Welcome to Brain Code Camp!

Prerequisites & Project Idea Exploration (Week 2)

Prerequisites and Project Idea Exploration

Intro to Modeling and Model Selection (Week 3)

Welcome to Intro to Modeling and Model Selection
Simple Linear Model
Polynomial Regression, Overfitting, and Regularization
Training, Validation and Test Data
Outro

Dimensionality Reduction (Week 4)

Intro to Dimensionality Reduction
The Basics
Principal Component Analysis (PCA)
Applying PCA to CDT Images
Nonlinear Methods
Outro

Machine Learning (Weeks 5-6)

ML Part 1 (Week 5)
ML Part 2 (Week 6)

Deep Learning (Weeks 7-8)

DL Part 1 (Week 7)
DL Part 2 (Week 8)

Signal Processing (Week 9)

Intro to Signal Processing
Sampling and Signal Averaging
Discrete Fourier Transform (DFT)
Short Time Fourier Transform (STFT)
Audio Example
Outro

Applications (Weeks 10-12)

Applying What You Have Learned to Your Project

Extra Resources

Hands-On Deep Learning with Pytorch
Recurrent Neural Network
Attention Mechanisms and Transformer
Graph Neural Network
Reinforcement Learning
Statistics

.md

Recurrent Neural Network

Recurrent Neural Network#

Slides: Recurrent Neural Network

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Hands-On Deep Learning with Pytorch

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Attention Mechanisms and Transformer

By Brain Code Camp Community

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