ModelDB: A Database to Support Computational Neuroscience

By Michael L. Hines, Thomas M. Morse, M. Migliore, Nicholas T. Carnevale, Gordon M. G. Shepherd. Journal of Computational Neuroscience, 2004

384 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/89805a7fb1a4a263134f9f8669067ebf141f2375

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Filip Ponulak
2. Andrzej J. Kasinski
3. Henry Markram
4. Andrew P. Davison
5. Michael L. Hines
6. Sergio Davies
7. Herbert Jaeger
8. Wolfgang Maass

In Cognitive Neuroscience

1. Filip Ponulak
2. Andrzej J. Kasinski
3. Idan Segev
4. Felix Schürmann
5. Sean L. Hill
6. Etay Hay
7. Andrew P. Davison
8. Henry Markram

In Information Systems and Management

1. Henry Markram

Citations in the corpus

• NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail (2010, positive): “A discussion on the conversion of the model from Fortran to NEURON format is available at : http : / / senselab . med . yale . edu / ModelDB / ShowModel . asp ? model = 82894&file = \nrntraub\README .”
• Introduction to spiking neural networks: Information processing, learning and applications. (2011, methodology): “For an excellent source of information on those models we refer readers to ModelDB – an online neural model database (Hines et al. 2004 In this section we presented selected application of spiking neural networks classified according to the three paradigms: unsupervised, supervised and…”
• A Computational Model for Epidural Electrical Stimulation of Spinal Sensorimotor Circuits (2013, methodology): “Node dynamics were extracted from the work of McIntyre and Grill, 2002 in Model DB with accession number 3810 (Hines et al., 2004).”
• BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models (2010, methodology): “We developed BioModels Database [11-13] precisely with these goals in mind, while other resources, such as ModelDB [14], JWS Online [15] or the CellML Model Repository [16,17], focus on different aspects.”
• Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties (2011, methodology): “The complete model is available in ModelDB [65] (accession number 139653).”