Replace panic review with structured, consistent recall. A second brain for literature synthesis, hypotheses, and experimental tradeoffs so phd students can review consistently without relying on late-night cramming cycles.




The Problem
Neuron pages for phd students are written around real memory pressure, not generic productivity advice.
You read deeply, but citation context is hard to retrieve when argument structure evolves.
Experimental decisions span months, increasing memory decay between iterative research cycles.
You need a memory system that supports rigor across long timelines and changing hypotheses. Cram-heavy review patterns burn energy and leave retention fragile after deadlines.
The Solution
Capture Connect Recall Retrieve
Capture paper notes, experiment logs, and advisor feedback in seconds so review sessions start with clean, structured source material.
Map relationships across literature synthesis, hypotheses, and experimental tradeoffs so revision focuses on weak links instead of random repetition.
Generate active recall prompts like "How does this paper challenge the current working hypothesis in your project?" to create efficient review loops that fit real schedules.
Retrieve the right context before committee meetings, manuscript writing, and defense prep when deadlines compress and attention is limited.
Pricing
We like keeping things simple. One plan one price.
For power users.
Buy once. Use forever.
FAQ
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Insights, updates and stories from our team.
Why It Converts
It keeps paper notes, experiment logs, and advisor feedback in one place so retrieval is dependable instead of scattered.
It reframes literature synthesis, hypotheses, and experimental tradeoffs into prompts that match the way phd students actually think and execute.
It strengthens recall before committee meetings, manuscript writing, and defense prep, where context quality directly affects outcomes.
It replaces reactive revision with a calm system that keeps retention stable over time.
Stop losing hard-earned context. Capture it once, retrieve it on demand, and improve recall every week.