Master complex systems by mapping and recalling what matters most. A second brain for literature synthesis, hypotheses, and experimental tradeoffs so phd students can understand and operate complex systems with less confusion and rework.




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. Complex systems stay hard when mental models are incomplete and quickly forgotten.
The Solution
Capture Connect Recall Retrieve
Capture paper notes, experiment logs, and advisor feedback in seconds so key components and assumptions are documented before they drift.
Map relationships across literature synthesis, hypotheses, and experimental tradeoffs so interactions across components remain visible and understandable.
Generate active recall prompts like "How does this paper challenge the current working hypothesis in your project?" to reinforce system-level thinking instead of isolated details.
Retrieve the right context before committee meetings, manuscript writing, and defense prep when diagnosing or explaining system behavior under real constraints.
Pricing
We like keeping things simple. One plan one price.
For power users.
Buy once. Use forever.
FAQ
Answers are tailored to this role so the page stays relevant and conversion-focused.
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 helps teams build durable systems thinking by linking details into a coherent model.
Stop losing hard-earned context. Capture it once, retrieve it on demand, and improve recall every week.