Development & childhood
Digital learning environments, developmental measurement and tools for research on childhood and learning.
Neuroscience × engineering × AI
From neural signals
to shared understanding.
Neuroscience education, research methods and tools for studying brain and behaviour.
Neuroprocessing is a founder-led open neurotechnology initiative connecting AI and computational neuroscience with project-based education, reproducible research and tools.
Preparing our first programme and collaborations ahead of the planned 2027 launch.
NEUROPROCESSING / LAB NOTES
NEUROSCIENCE × ENGINEERING × AI Neuroprocessing focus areas
Neuroscience, engineering and AI
Our focus connects movement and behaviour, neural signals, brain imaging and research tools across six application areas.
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.
Our approach
Neuroscience methods
in practice.
We connect measurement, analysis and interpretation, with an emphasis on transparent methods and the limits of what the evidence can tell us.
Measure with purpose
Neural, image and behavioural data need meaningful questions, careful acquisition and visible quality control.
Make methods inspectable
Document the analysis, the environment and the decisions behind a result, so others can understand and reproduce the work.
Build across disciplines
Bring scientific questions into conversation with software, instruments and learning, without losing sight of their different responsibilities.
Research & methods
Where evidence meets engineering.
Understanding brain and behaviour through the systems we use to study them.
Our research interests connect behavioural measurement, neural and image analysis, computational methods and evidence synthesis.
Learning at Neuroprocessing
Learn the methods.
Connect the ideas.
Our English learning direction brings rigorous computational practice together with a connected understanding of neuroscience.
Explore the learning directionIndependent English course · planned
ML for Mental Health Research
A proposed teaching area centred on research design, responsible model evaluation and reproducible analysis.
Notes from the work
Methods and research notes.
Research notes and methods articles will be shared here as they are ready.
Read the writingLearning resources & research tools
Choose tools for the question.
Start with the task, the prerequisites and the evidence. Our resource guide explains how to evaluate courses, research software and nonclinical equipment, including free and open-source alternatives.
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 →Build with us
Good work starts
with a conversation.
Have a research question, a method to share or an engineering challenge? Let’s find a focused way to work together.