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Introduction to Neuroinformatics
Purpose of the study track
This study track is intended for those with a background in neurobiology looking to gain a basic understanding of how informatics approaches can be used in their research.

Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools. These areas of research are important for the integration and analysis of increasingly large-volume, high-dimensional, and fine-grain experimental data. 

Lectures in this study track

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.


This lecture gives an introduction to simulation, models, and the neural simulation tool NEST. 


This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network. 


This lecture covers an introduction to connectomics, and image processing tools for the study of connectomics. 


This lecture covers acquisition techniques, the physics of MRI, diffusion imaging, prediction using fMRI. 


This lecture covers describing and characterizing an input-output relationship.


This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies. 


This lecture provides a history of data management, recent developments data management, and a brief description of scientific data management.…


Lecture on the most important concepts in software engineering


This lecture focuses on computational complexity which lies at the heart of computer science thinking. In short, it is a way to quickly gauge an…


This lecture will addresses what it means for a problem to have a computable solution, methods for combining computability results to analyse more…

Courses in this study track

This lectures series provides Introduction to neuroinformatics.

Topics covered:

Data analysis and neuronal coding databases and…


Human Brain Project Curriculum: Interdisciplinary brain science. ICT for non-specialists.

“Computational Thinking“ refers to a mindset or…


This workshop covers recent developments in this rapidly developing field of neuromorphic computing systems, and challenges ahead.


How to gain the recommended background knowledge for success in computational neuroscience

Most who enter the field of computational…


Datalabcc: Foundations of Data Science. Data science relies on several important aspects of mathematics. In this course, you'll learn what forms…