What problem does it solve? Conducting a rigorous biology or neuroscience literature review requires searching multiple databases, deduplicating records, retrieving full text, and synthesizing evidence across papers, which is slow and error-prone when done manually. ## Core Features & Use Cases - Structured discovery and reading pipeline: Searches Europe PMC as the primary source, optionally expands recall with Exa, then reads selected papers through the Full-Text Resolver or DeepXiv progressive reading for arXiv papers. - Normalization and evidence synthesis: Deduplicates works by PMCID, PMID, DOI, arXiv ID, or title, ranks candidates by relevance, and produces a comparative review with consensus, disagreements, and gaps. - Modeling-memory handoff: Appends modeling-relevant literature evidence to an existing brainmodeling-memory.md file when findings affect modeling or validation decisions. - Use Case: Ask how conductance-based neuron model parameters are fitted from electrophysiology recordings, and receive a synthesized review of key papers with full-text evidence, version provenance, and unresolved questions. ## Quick Start Use the bio-neuro-lit skill to review the literature on parameter fitting of conductance-based neuron models from patch-clamp recordings.
