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SpikeLab is a text-to-analysis framework designed for neural spike data that uses an agentic system to guide large language models (LLMs) for robust, reproducible, and expert-vetted electrophysiology analysis. It allows complex analyses (e.g., dose-response studies, network structure) to be executed via natural language prompts without requiring the user to write code.