An open learning atlas
Start with a question.
Follow it into the science.
01 / Find your bearings
Begin with a field, then follow the connections.
02 / Read, watch, connect
Each asks a distinct question, suggests a starting lecture and gives you something to do with what you learn.
All topic guides →Topic guide · Cells, circuits and brains / Methods, evidence and reproducibility
Compare measurement approaches, experimental contrasts and interpretational limits before following a specialist brain-imaging or connectivity route.
Topic guide · Learning, memory and education / Cells, circuits and brains
Use contrasts between memory tasks, patient evidence and computational models to ask what a memory explanation must account for.
Topic guide · Perception, attention and action / Methods, evidence and reproducibility
Move from selection and perceptual tasks to competing accounts of attention, measurement and the separate question of awareness.
Topic guide · Development across life / Cells, circuits and brains
Compare developmental questions at behavioural and brain levels, then examine what different study settings let researchers observe.
Topic guide · Computational approaches and AI / Cells, circuits and brains / Methods, evidence and reproducibility
Connect modelling goals, simplified neuronal mechanisms, spike data and fitting exercises, with an optional route into network models.
03 / Go further
Follow a sequence with a purpose. Keep your place in this browser and export a reading list for later.
All learning paths →6 steps · Learning path
Follow the Human Brain course from its central questions through methods, experimental design and competing interpretations. The route preserves the relevant lecture order and adds a continuing task: refine one question into two discriminating experiments.
6 steps · Learning path
Compare two introductory accounts of child development, extend the question across adulthood, then move to cortical organisation and the setting in which developmental studies are conducted. The recurring task is to separate a target ability from the demands of its measurement.
8 steps · Learning path
Begin with physical and circuit models, connect them to synapses and spike data, then extend to receptive fields and recurrent memory models. Each step asks what the representation includes and what observation would challenge it. This is a selected route, with the full course available for omitted derivations.