This video demonstrates how to find, access, and download data on EBRAINS.

Peer Herholz gives a tour of how popular virtualization tools like Docker and Singularity are playing a crucial role in improving reproducibility and enabling high-performance computing in neuroscience.

Today’s (neuro)scientific computing landscape depends more than ever on selecting, combining, and implementing a range of tools and technologies for each specific use case. For decades, neuroscience users have turned to MATLAB as an integration environment for pioneering & innovative small-scale studies. Tune in to learn how today’s MATLAB integrates with today’s powerful tools & technologies for larger-scale and next-generation neuroscience challenges.

This workshop will introduce reproducible workflows and a range of tools along the themes of organisation, documentation, analysis, and dissemination. After a brief introduction to the topic of reproducibility, the workshop will provide specific tips and tools useful in improving daily research workflows. The content will include modules such as data management, electronic lab notebooks, reproducible bioinformatics tools and methods, protocol and reagent sharing, data visualisation, and version control. All modules include interactive learning, real-time participation, and active knowledge sharing. The methods and tools introduced help researchers share work with their future self, their immediate colleagues, and the wider scientific community.

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

Part 1 of 2 of a tutorial on statistical models for neural data

Part 2 of 2 of a tutorial on statistical models for neural data.

From the retina to the superior colliculus, the lateral geniculate nucleus into primary visual cortex and beyond, this lecture gives a tour of the mammalian visual system highlighting the Nobel-prize winning discoveries of Hubel & Wiesel.

From Universal Turing Machines to McCulloch-Pitts and Hopfield associative memory networks, this lecture explains what is meant by computation.

Ion channels and the movement of ions across the cell membrane.

The ionic basis of the action potential, including the Hodgkin Huxley model. 

Introduction to the course Cellular Mechanisms of Brain Function.

The ionic basis of the action potential, including the Hodgkin Huxley model. 

Introduction to the course Cellular Mechanisms of Brain Function.

The composition of the cell membrane.

Spatiotemporal dynamics of the membrane potential.

Action potential initiation and propagation.

Synaptic transmission and neurotransmitters

Neurotransmitter release in the presynaptic specialization.