Skip to main content
Below you will find the latest courses. Please search or select the courses based on the below filters.
Search courses
Course level
INCF TrainingSpace

Session 1: A FAIR Roadmap for Knowledge Graphs and Ontologies

INCF

This course corresponds to the first session of talks given at INCF's Neuroinformatics Assembly 2023. The sessions consists of several lectures, focusing on using the principles of FAIR (findability, accessibility, interoperability, and reusability) to inform future directions in neuroscience and neuroinformatics. In particular, these talks deal with the development of knowledge graphs and ontologies. 

 
INCF TrainingSpace

Session 6: Research Workflows for Collaborative Neuroscience

INCF

This course contains videos, lectures, and hands-on tutorials as part of INCF's Neuroinformatics Assembly 2023 workshop on developing robust and reproducible research workflows to foster greater collaborative efforts in neuroscience.

 
INCF TrainingSpace

Deep Learning: Control

NYU Center for Data Science

This module covers the concepts of model predictive control, emulation of the kinematics from observations, training a policy, and predictive policy learning under uncertainty. It is a part of the Deep Learning Course at NYU's Center for Data Science, a course that covered the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer

 

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.

 

Foundations of Data Science

Datalabcc

Data science relies on several important aspects of mathematics. In this course, you'll learn what forms of mathematics are most useful for data science, and see some worked examples of how math can solve important data science problems.

 

Ethics and Governance

Ethical conduct of science, good governance of data, and accelerated translation to the clinic are key to high-calibre open neuroscience.  Everyday practitioners of science must be sensitized to a range of ethical considerations in their research, some having especially to do with open data-sharing. The lessons included in this course introduce a number of these topics and end with concrete guidance for participant consent and de-identification of data.

 
INCF TrainingSpace

Standards and Best Practices

INCF

Standards and best practices make neuroscience a data-centric discipline and are key for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. This study track provides an introduction to standards and best practices that support the FAIR Principles.

 

INCF Assembly 2022 - Training Day 2

INCF

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

 
INCF TrainingSpace

Neuromorphic Computing and Challenges

INCF

Future computing systems will capitalize on our increased understanding of the brain through the use of similar architectures and computational principles. During this workshop, we bring together recent developments in this rapidly developing field of neuromorphic computing systems, and also discuss challenges ahead.

 
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 TrainingSpace

Session 5: Infrastructure for Sensitive Data

INCF

This course consists of a three-part session from the second day of INCF's Neuroinformatics Assembly 2023. The lessons describe various on-going efforts within the fields of neuroinformatics and clinical neuroscience to adjust to the increasingly vast volumes of brain data being collected and stored.

 

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.

 

Cajal Course in Computational Neuroscience

CAJAL Advanced Neuroscience Training

The CAJAL Course in Computational Neuroscience teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. This course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics, and psychology. 

 

The Virtual Brain: Bernstein Center Lectures 2019

The Virtual Brain

This course provides a general overview about brain simulation, including its fundamentals as well as clinical applications in populations with stroke, neurodegeneration, epilepsy, and brain tumors. This course also introduces the mathematical framework of multi-scale brain modeling and its analysis.

 

Cellular Mechanisms of Brain Function

EPFL

This course, arranged by EPFL and also available as a MOOC on edX, aims for a mechanistic description of mammalian brain function at the level of individual nerve cells and their synaptic interactions.

 

Enabling Multi-Scale Data Integration: Turning Data to Knowledge

NFDI Neuroscience

This workshop is organized by the German National Research Data Infrastructure Initiative Neuroscience (NFDI-Neuro). The initiative is community driven and comprises around 50 contributing national partners and collaborators. NFDI-Neuro partners with EBRAINS AISB, the coordinating entity of the EU Human Brain Project and the EBRAINS infrastructure. We will introduce common methods that enable digital reproducible neuroscience.

 

INCF Assembly 2022 - Day 3 Sessions

INCF

Sessions from the INCF Neuroinformatics Assembly 2022 Day 3. 

VIEW THE PROGRAM

 

Notebooks

Notebook systems are proving invaluable to skill acquisition, research documentation, publication, and reproducibility.  This series of presentations introduces the most popular platform for computational notebooks, Project Jupyter, as well as other resources like Binder and NeuroLibre. 

 

How to Use Allen Institute for Brain Science Resources

Allen Institute for Brain Science

This course features tutorials on how to use Allen atlases and digital brain atlasing tools, including operational and user features of the Allen Mouse Brain Atlas, as well as the Allen Institute's 3D viewing tool, Brain Explorer®.