{"id": "package:d78a3fe7-eb01-4b31-b09f-2a8ea28a16fc", "name": "24jan24_16_1_6_cfg.json", "self_uri": "https://services.scicrunch.io/sparc/drs/v1/objects/d78a3fe7-eb01-4b31-b09f-2a8ea28a16fc", "size": 5801, "created_time": "2024-12-20T20:30:11,136986Z", "updated_time": "2024-12-20T20:30:12,862141Z", "version": "1", "mime_type": "application/json", "checksums": [{"checksum": "67eaeb61c8bf20b817d175a5e397115e", "type": "sha256"}], "access_methods": [{"type": "s3", "access_url": {"url": "s3://sparc-prod-aod-discover-publish50-use1/453/files/primary/24jan24_16/24jan24_16_1_6_cfg.json"}, "region": "us-east-1"}], "dataset": {"id": "453", "doi": "DOI:10.26275/cy9w-ttjn", "title": "Biophysical modeling of neuronal phenotypes of the right atrial ganglionic plexus from single-neuron transcriptomics", "description": "Parallel conductance models using the Hodgkin-Huxley formalism informed by single-neuron transcriptomic data to select ion channel combinations.", "abstract": "The primary objective of the modeling study was to connect single-neuron RAGP transcriptomic data to cellular electrophysiology to understand the activity of neurons contributing to heart rate regulation. Not applicable (computational study) Single-neuron transcriptomic data can be used to construct a library of biophysical neuronal models that produce the range of electrophysiological behavior observed experimentally"}}