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Differentiable biophysical simulation framework for inferring Hodgkin-Huxley parameters from extracellular MEA data. Enables rapid biophysical inference and precise neurostimulation prediction without invasive intracellular recordings.
differentiable-biophysical-simulation-neurostimulation is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Learning Biophysical Models of Large-Scale Multineuronal Data to Enable Precise Neurostimulation ## Paper Information - **Title**: Learning Biophysical Models. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding differentiable-biophysical-simulation-neurostimulation to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
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# Learning Biophysical Models of Large-Scale Multineuronal Data to Enable Precise Neurostimulation ## Paper Information - **Title**: Learning Biophysical Models of Large-Scale Mult