{"doi":"10.7554/elife.51214","title":"Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data","abstract":"Magneto- and electro-encephalography (MEG/EEG) non-invasively record human brain activity with millisecond resolution providing reliable markers of healthy and disease states. Relating these macroscopic signals to underlying cellular- and circuit-level generators is a limitation that constrains using MEG/EEG to reveal novel principles of information processing or to translate findings into new therapies for neuropathology. To address this problem, we built Human Neocortical Neurosolver (HNN, https://hnn.brown.edu) software. HNN has a graphical user interface designed to help researchers and clinicians interpret the neural origins of MEG/EEG. HNN's core is a neocortical circuit model that accounts for biophysical origins of electrical currents generating MEG/EEG. Data can be directly compared to simulated signals and parameters easily manipulated to develop/test hypotheses on a signal's origin. Tutorials teach users to simulate commonly measured signals, including event related potentials and brain rhythms. HNN's ability to associate signals across scales makes it a unique tool for translational neuroscience research.","journal":"eLife","year":2020,"id":53137,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":121,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7464,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":272742,"name":"Dylan S Daniels","orcid":null,"position":1,"is_corresponding":false},{"id":270554,"name":"Blake Caldwell","orcid":"0000-0002-6882-6998","position":2,"is_corresponding":false},{"id":60855,"name":"Robert A. McDougal","orcid":"0000-0001-6394-3127","position":3,"is_corresponding":false},{"id":272743,"name":"Nicholas T. Carnevale","orcid":null,"position":4,"is_corresponding":false},{"id":270555,"name":"Mainak Jas","orcid":"0000-0002-3199-9027","position":5,"is_corresponding":false},{"id":246022,"name":"Christopher I. Moore","orcid":"0000-0003-4534-1602","position":6,"is_corresponding":false},{"id":270556,"name":"Michael L. Hines","orcid":"0000-0003-1830-7433","position":7,"is_corresponding":false},{"id":270557,"name":"Matti Hämäläinen","orcid":"0000-0001-6841-112X","position":8,"is_corresponding":false},{"id":270558,"name":"Stephanie R. Jones","orcid":"0000-0001-6760-5301","position":9,"is_corresponding":false},{"id":270553,"name":"Samuel A. Neymotin","orcid":"0000-0003-3646-5195","position":0,"is_corresponding":true}],"reference_count":89,"raw_metadata":null,"created_at":"2026-07-18T20:44:25.349797Z","pmid":"31967544","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}