This session provides users with an introduction to tools and resources that facilitate the implementation of FAIR in their research.

This video gives a short introduction to the EBRAINS data sharing platform, why it was developed, and how it contributes to open data sharing.

This video explains what metadata is, why it is important, and how you can organize your metadata to increase the FAIRness of your data on EBRAINS.

This video introduces the importance of writing a Data Descriptor to accompany your dataset on EBRAINS. It gives concrete examples on what information to include and highlights how this makes your data more FAIR.

In this lesson, users will learn about the importance of proper citation of software resources and tools used in neuroscientific research. 

Since their introduction in 2016, the FAIR data principles have gained increasing recognition and adoption in global neuroscience. FAIR defines a set of high level principles and practices for making digital objects, including data, software and workflows, Findable, Accessible, Interoperable and Reusable. But FAIR is not a specification; it leaves many of the specifics up to individual scientific disciplines to define. INCF has been leading the way in promoting, defining and implementing FAIR data practices for neuroscience. We have been bringing together researchers, infrastructure providers, industry and publishers through our programs and networks.

This video provides a very quick introduction to some of the neuromorphic sensing devices, and how they offer unique, low-power applications.

This lecture covers the ethical implications of the use of brain-computer interfaces, brain-machine interfaces, and deep brain stimulation to enhance brain functions and was part of the Neuro Day Workshop held by the NeuroSchool of Aix Marseille University.

In this module you will learn the basics of Brain Computer Interface (BCI). You will read an introduction to the different technologies available, the main components and steps required for BCI, associated safety and ethical issues, as well as an overview about the future of the field.

In this module, users will learn about the different types of neurotechnology and how each of them works. This will be done through the metaphor of going to a symphony... in your brain. Like a symphony, brain processes emerge from collections of neural activity. This video encourages us to imagine ourselves moving to different areas in the concert hall to understand where different technologies interface. Once the concert ends, we talk about underlying neural mechanisms and technology that allow researchers and innovators to interact with the brain.

This module addresses how neurotechnology is currently used for medical and non-medical applications, and how it might advance in the future.

This module covers a brief history of the neurotechnology industry, bringing the history of brain-computer interfacing to life through engaging skits and stories. 

This module covers many types of invasive neurotechnology devices/interfaces for the central and peripheral nervous systems. Invasive neurotech devices are crucial, as they often provide the greatest accuracy and long-term use applicability.

This module covers many of the types of non-invasive neurotech and neuroimaging devices including electroencephalography (EEG), electromyography (EMG), electroneurography (ENG), magnetoencephalography (MEG), and more. 

Neuromodulation refers to devices that influence the firing of neurons which can be useful in many medical applications. This modules covers what neuromodulation is, how it affects the functioning of neurons, and the many forms that these devices take on.

This modules covers neuroprosthetic and cognitive enhancement devices that can help augment our capabilities by enhancing memory, as well as restoring or improving our senses. 

This module goes over the methods that neurotechnologists use to turn brain data into commands a computer or a machine can understand. We cover data collection, processing, filtering, analysis, how to generate an action in a device, asynchronous BCIs that use population encoding, and synchronous BCIs that use P300, SSVEP, N100, and N400 signals. 

This module covers the many things that brain-computer interfaces can and will be able to do, including motor neuroprosthetics like prosthetic arms, exosuits, and vehicle control, as well as computer and machine interfacing use-cases.

This module covers how neurotechnology is perceived in media today. We discuss a few specific films and talk about how the perception of neurotechnology changes with our media. Finally, we introduce a few interesting terms related to ethics and address some future issues the technology may cause.