Public journal
Publish progress, invite scrutiny and grow a responsible community.
The NeuroTech project
We are exploring technologies that could capture, organise, interpret and eventually help restore information associated with human memory.
The mission
Complete autobiographical memories cannot currently be downloaded as files. Our project therefore begins with achievable systems: a secure digital memory vault, controlled EEG experiments and AI models that investigate memory-related brain states.
Every public claim will distinguish observed data, participant confirmation, model prediction and AI-generated interpretation.
Progressive roadmap
Publish progress, invite scrutiny and grow a responsible community.
Capture life events through text, voice, photos, video and context.
Synchronise non-invasive brain signals with controlled memory tasks.
Investigate patterns associated with successful encoding and recall.
Use brain responses to help rank known records in the memory vault.
Conduct ethics-approved studies with neuroscience and clinical institutions.
Clear answers
These answers explain the project’s present capabilities, research direction and safeguards in direct language.
No. Complete autobiographical memories cannot currently be extracted and saved as exact digital files. NeuroTech begins with achievable memory tools, controlled brain-signal research and transparent experiments.
The first products are this public research journal and a secure digital memory vault. Later phases will explore non-invasive EEG, memory-state prediction and human-confirmed neural search.
That is not the project goal. The programme is designed around explicit consent, visible recording, narrow research tasks, data minimisation and participant control.
Researchers, engineers, students, health professionals, ethicists and members of the public can submit ideas, risks, questions and collaboration proposals through the community platform.
Founding principle
No hidden recording. No sale of neural data. No advertising based on brain signals. No model training without explicit permission. Mental privacy is not an optional feature.