Your browser doesn't support javascript.
loading
HNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG.
Jas, Mainak; Thorpe, Ryan; Tolley, Nicholas; Bailey, Christopher; Brandt, Steven; Caldwell, Blake; Cheng, Huzi; Daniels, Dylan; Pujol, Carolina Fernandez; Khalil, Mostafa; Kanekar, Samika; Kohl, Carmen; Kolozsvári, Orsolya; Lankinen, Kaisu; Loi, Kenneth; Neymotin, Sam; Partani, Rajat; Pelah, Mattan; Rockhill, Alex; Sherif, Mohamed; Hamalainen, Matti; Jones, Stephanie.
Afiliação
  • Jas M; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
  • Thorpe R; Department of Neuroscience, Brown University, Providence, RI, USA.
  • Tolley N; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
  • Bailey C; Department of Neuroscience, Brown University, Providence, RI, USA.
  • Brandt S; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
  • Caldwell B; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Cheng H; Department of Neuroscience, Brown University, Providence, RI, USA.
  • Daniels D; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
  • Pujol CF; Bassett Medical Center, Cooperstown, NY, USA.
  • Khalil M; Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA.
  • Kanekar S; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
  • Kohl C; Department of Biomedical Engineering, University of Miami, Coral Gables, FL, USA.
  • Kolozsvári O; Department of Psychiatry and Behavioral Health, Penn State Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA.
  • Lankinen K; Warren Alpert Medical, Brown University, Providence, RI.
  • Loi K; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
  • Neymotin S; Department of Psychology, University of Jyväskylä, Jyväskylä, Finland.
  • Partani R; Jyväskylä Centre for Interdisciplinary Brain Research, University of Jyväskylä, Jyväskylä, Finland.
  • Pelah M; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
  • Rockhill A; Department of Radiology, Harvard Medical School, Boston, MA, USA.
  • Sherif M; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
  • Hamalainen M; Department of Molecular and Cell Biology; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.
  • Jones S; Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
J Open Source Softw ; 8(92)2023.
Article em En | MEDLINE | ID: mdl-38939123
ABSTRACT
HNN-core is a library for circuit and cellular level interpretation of non-invasive human magneto-/electro-encephalography (MEG/EEG) data. It is based on the Human Neocortical Neurosolver (HNN) software (Neymotin et al., 2020), a modeling tool designed to simulate multiscale neural mechanisms generating current dipoles in a localized patch of neocortex. HNN's foundation is a biophysically detailed neural network representing a canonical neocortical column containing populations of pyramidal and inhibitory neurons together with layer-specific exogenous synaptic drive (Figure 1 left). In addition to simulating network-level interactions, HNN produces the intracellular currents in the long apical dendrites of pyramidal cells across the cortical layers known to be responsible for macroscopic current dipole generation.
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article