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About Brain Code Camp

General Information

Schedule
On-Site Meetups
Staff
Office Hour Teams
Datasets
Graduation Requirements
Graduates
Frequently Asked Questions

Prerequisites

Brain Building Blocks
From BBB to BCC
- Data Visualization
- Modeling
Intro to Modeling and Model Selection

Dimensionality Reduction (Week 1)

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

Machine Learning (Weeks 2-3)

ML Part 1 (Week 2)
ML Part 2 (Week 3)

Deep Learning (Week 4)

Intro to Deep Learning
Fundamentals of Deep Learning
Introduction to Pytorch
Concentration Prediction with EEG
Classification with Convolutional Neural Network Using PyTorch
Outro

Signal Processing (Week 5)

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

Modality Exploration (Weeks 6-8)

EEG
- EEG Preprocessing and Analysis
fMRI
- Introduction to fMRI Preprocessing
Spiking Data
- Spiking Data Processing and Analysis

Applications (Weeks 9-13)

Applying What You Have Learned to Your Project

Extra Lectures

Recurrent Neural Network
Attention Mechanisms and Transformer
Graph Neural Network
Reinforcement Learning
Statistics
Dimensionality Reduction

Extra Coding

Hands-On Deep Learning with Pytorch
Object Detection with Transformer
Breast Cancer Segmentation Using Transformers
Image Classification

Previous Offerings

2023
- Graduates
- Projects

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Statistics

Statistics#

Non-parametric stats I

Non-parametric stats II

Slides: Non-parametric Stats

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Reinforcement Learning

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Dimensionality Reduction

By Brain Code Camp Community

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