Official launch in 2027 Continue browsing

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Official launch

Neuroprocessing is in preparation. The information pages are available now; programme details will be announced when they are final.

Time until the official launch

Follow our launch updates.

Our focus

Neurotechnology and AI for neuroscience.

We connect education, open research and tools around questions about brain, body and behaviour. Each collaboration starts with a defined question, a feasible scope and an output that can be examined.

Neuroprocessing focus areas

Neuroscience, engineering and AI

Our focus connects movement and behaviour, neural signals, brain imaging and research tools across six application areas.

Development & childhood

Digital learning environments, developmental measurement and tools for research on childhood and learning.

Movement & motor learning

Behavioural measurement, computer vision, biomechanics and computational models of motor learning.

Cognition, behaviour & games

Research tasks, game-based learning and tools for examining attention, decision-making and behaviour.

Everyday life & environments

Technology and research methods for questions about sleep, daily routines, interaction and built environments.

Clinical neuroscience & imaging

Methods for evaluating digital measures, neuroimaging and AI in clearly defined clinical research settings.

Rehabilitation technology

Interfaces, movement feedback and research prototypes for studying rehabilitation and skill acquisition.

Clinical and rehabilitation topics are approached through research and teaching, with evidence discussed in the relevant material.

A teaching example

Movement in the Age of AI

An interactive lecture connects a classroom movement measure with computer vision, clinical research and virtual models. It illustrates the kind of source-linked learning we want to develop.

Open the interactive English lecture →

From one example to a focused contribution

An educator might contribute one short lesson; a researcher could examine a method or its evidence; a student could build an example with an agreed scope. Roles and attribution are established before work begins.

Start a collaboration conversation →

The classroom task is not a validated clinical assessment. Research examples retain their sources and limitations.

Neuroscience Knowledge Network · NKN

Neuroscience education, connected.

NKN connects neuroscience topics from genes and cells to cognition and behaviour. Lessons and presentations can grow through contributions from educators, researchers and students, for classrooms and individual learning.

Explore the NKN learning model →