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Research, Ethics, and Societal Impact

HBP Education Programme

This course explores ethical and social issues that have arisen, and continue to arise, from the rapid research development in neuroscience, medicine, and ICT. Lectures focus on key ethical issues contained in the HBP – such as the ethics of robotics, dual use, ICT ethical issues, big data and individual privacy, and the use of animals in research.

 

INCF Assembly 2022 - Training Day 2

INCF

This course contains sessions from the second day of INCF's Neuroinformatics Assembly 2022.

 
INCF TrainingSpace

INCF Assembly 2023 - Lightning Talks (Day 1)

INCF

This course consists of three lessons, each corresponding to a lightning talk given at the first day of INCF's Neuroinformatics Assembly 2023. By following along these brief talks, you will hear about topics such as open source tools for computer vision, tools for the integration of various MRI dataset formats, as well as international data governance. 

 
INCF TrainingSpace

Lifecycle of Human Electroencephalography/Event-Related Potential Data

Czech National Node for Neuroinformatics

This course is intended for those interested in electroencephalography (EEG) and event-related potentials (ERPs) techniques, and those interested in collecting, annotating, standardizing, storing, processing, sharing, and publishing data from electrical activity of the human brain.

 

Simulating Brain Microcircuit Activity and Signals in Mental Health

Krembil Centre for Neuroinformatics

This course offers lectures on the origin and functional significance of certain electrophysiological signals in the brain, as well as a hands-on tutorial on how to simulate, statistically evaluate, and visualize such signals. Participants will learn the simulation of signals at different spatial scales, including single-cell (neuronal spiking) and global (EEG), and how these may serve as biomarkers in the evaluation of mental health data.

 

The International Brain Initiative (IBI)

INCF

The International Brain Initiative (IBI) is a consortium of the world’s major large-scale brain initiatives and other organizations with a vested interest in catalyzing and advancing neuroscience research through international collaboration and knowledge sharing. This session will introduce the IBI and the current efforts of the Data Standards and Sharing Working Group with a view to gain input from a wider neuroscience and neuroinformatics community. 

 

Model Types

Neuromatch Academy

Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience to trainees.

 
INCF TrainingSpace

Session 8: FAIR Data: The Role of Journals

INCF

Most neuroscience journals request authors to make their data publicly available in appropriate repositories. The requirements and policies put forward by journals vary, and the services provided for different types of data also differ considerably across repositories.

 

INCF Assembly 2022 - Day 3 Sessions

INCF

Sessions from the INCF Neuroinformatics Assembly 2022 Day 3. 

VIEW THE PROGRAM

 

INCF Assembly 2022 - Day 3 Sessions

INCF

Sessions from the INCF Neuroinformatics Assembly 2022 Day 3. 

VIEW THE PROGRAM

 

Fundamental Methods for Genomic Analysis

Krembil Centre for Neuroinformatics

This course includes both lectures and tutorials around the management and analysis of genomic data in clinical research and care. Participants are led through the basics of genome-wide association studies (GWAS), genotypes, and polygenic risk scores, as well as novel concepts and tools for more sophisticated consideration of population stratification in GWAS.

 

Versioning & Containerization

This course outlines how versioning code, data, and analysis software is crucially important to rigorous and open neuroscience workflows that maximize reproducibility and minimize errors.Version control systems, code-capable notebooks, and virtualization containers such as Git, Jupyter, and Docker, respectively, have become essential tools in data science.

 

INCF Assembly 2022 - Day 3 Sessions

INCF

Sessions from the INCF Neuroinformatics Assembly 2022 Day 3. 

VIEW THE PROGRAM

 

Neuroscience for Machine Learners (Neuro4ML)

Neural Reckoning Group

This is a freely available online course on neuroscience for people with a machine learning background. The aim is to bring together these two fields that have a shared goal in understanding intelligent processes. Rather than pushing for “neuroscience-inspired” ideas in machine learning, the idea is to broaden the conceptions of both fields to incorporate elements of the other in the hope that this will lead to new, creative thinking.

 

INCF Assembly 2022 - Day 1 Sessions

INCF

Sessions from the INCF Neuroinformatics Assembly 2022 day 1. 

VIEW THE PROGRAM

 

Hypothes.is: A Web-Based Annotation Tool

Hypothes.is

This short course covers Hypothes.is, an annotation tool that enables users to collaboratively annotate course readings and other internet resources.

Features of Hypothes.is:

 

The Virtual Brain Education Pack (TVB EduPack)

The Virtual Brain

The Virtual Brain EduPack provides didactic use cases for The Virtual Brain (TVB). Typically a use case consists of a jupyter notebook and a didactic video. EduPack use cases help the user to reproduce TVB-based publications or to get started quickly with TVB.

 

Applied Ethics in Machine Learning and Mental Health

Krembil Centre for Neuroinformatics

This course tackles the issue of maintaining ethical research and healthcare practices in the age of increasingly powerful technological tools like machine learning and artificial intelligence. While there is great potential for innovation and improvement in the clinical space thanks to AI development, lecturers in this course advocate for a greater emphasis on human-centric care, calling for algorithm design which takes the full intersectionality of individuals into account.

 

Introduction to Information and Communications Technology (ICT) for Non-Specialists

HBP Education Programme

“Computational Thinking“ refers to a mindset or set of tools used by computational or ICT specialists to describe their work. This course is intended for people outside of the ICT field to allow students to understand the way that computer specialists analyse problems and to introduce students to the basic terminology of the field.

 
INCF TrainingSpace

Computational Modeling of Neuronal Plasticity

Florence I. Kleberg and Jochen Triesch

In this course, you will learn how computational neuroscientists use mathematical models and computer simulations to study different plasticity phenomena in the brain. During the course, you will program your own neuron model, a so-called leaky-integrate-and-fire (LIF) neuron model, and simulate it with a computer. You will also learn how to add various neuronal properties and plasticity mechanisms to the model and study how they operate.