Intro to (M)EEG Analysis with MNE-Python
Would you like to learn more about (M)EEG analysis and programming in Python? By the course's end, you’ll have an understanding of how to install and setup a Python environment …
Hands-on sessions centered on guided practice and collaborative exercises.
Workshops focus on active learning. Participants spend much of the session solving exercises, discussing examples, and applying tools directly to research-relevant problems.
Would you like to learn more about (M)EEG analysis and programming in Python? By the course's end, you’ll have an understanding of how to install and setup a Python environment …
A short introduction to Python, Numpy, Matplotlib, and Pandas
An introduction to the essential tools for organizing, managing, and sharing computational projects
It is becoming critical to make neuroscience analysis workflows robust, reproducible, and scalable. In this workshop, we will use Snakemake to develop complex data analysis …
A short introduction to Python, Numpy, Matplotlib, and Pandas
An introduction to the essential tools for organizing, managing, and sharing computational projects
Deep learning (DL) has quickly become one of the most popular analysis tools in neuroscience. This three-day, hands-on workshop introduces the core principles and practical …
A short introduction to Python, Numpy, Matplotlib, and Pandas
An introduction to the essential tools for organizing, managing, and sharing computational projects
An introduction to Notebook-Driven Development using Jupyter Notebooks
An introduction to the essential tools for organizing, managing, and sharing computational projects
What is all this hype about databases, and how can I use them to make my analysis work simpler? In this workshop, you’ll build databases and query them in Python and SQL using …
An introduction to the essential tools for organizing, managing, and sharing computational projects
Learn to simualte, extract and analyze and neural spiking data using Python's core scentific stack as well as neuroscience-specific libraries in a hand-on 3-day workshop.
A short introduction to Python, Numpy, Matplotlib, and Pandas
An introduction to the essential tools for organizing, managing, and sharing computational projects
Introduction to analysis of calcium imaging data with CaImAn
A short introduction to Python, Numpy, Matplotlib, and Pandas
An introduction to the essential tools for organizing, managing, and sharing computational projects
An introduction to Python, Numpy, Matplotlib, and Pandas
A short introduction to Python, Numpy, Matplotlib, and Pandas
An introduction to the essential tools for organizing, managing, and sharing computational projects
A workshop on building experiments in Python that focuses on code robustness and reusability
An introduction to the essential tools for organizing, managing, and sharing computational projects
An introduction to Notebook-Driven Development using Jupyter Notebooks
A short introduction to Python, Numpy, Matplotlib, and Pandas
Analysis of calcium imaging data with CaImAn
It is becoming critical to make neuroscience analysis workflows robust, reproducible, and scalable. In this workshop, we will use Snakemake to develop complex data analysis …
What is all this hype about databases, and how can I use them to make my analysis work simpler? In this workshop, you’ll build databases and query them in Python and SQL using …
The easy-to-learn Arduino ecosystem offers a fantastic opportunity to sharpen your programming skills. In this workshop, you will build your own Arduino sensors while electrifying …
Would you like to learn more about (M)EEG analysis and programming in Python? By the course's end, you’ll have an understanding of how to install and setup a Python environment …
Matlab is a powerful programming and analysis tool, widely recognized and utilized, especially in the realm of neuroscience. With its extensive suite of data-science tools, Matlab …
A short introduction to Python, Numpy, Matplotlib, and Pandas
A short introduction to Python, Numpy, Matplotlib, and Pandas
A short introduction to Python, Numpy, Matplotlib, and Pandas