CORnet specifications

Information


Unique identifier OMICS_31778
Name CORnet
Alternative name Modeling the Neural Mechanisms of Core Object Recognition
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Requirements
PyTorch, numpy, pandas, tqdm, fire
Maintained Yes

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Versioning


No version available

Maintainers


  • person_outline James DiCarlo
  • person_outline Aran Nayebi

Publication for Modeling the Neural Mechanisms of Core Object Recognition

CORnet institution(s)
McGovern Institute for Brain Research, MIT, Cambridge, MA, USA; Brain and Cognition, KU Leuven, Leuven, Belgium; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA; Center for Brains, Minds and Machines, MIT, Cambridge, MA, USA; Neurosciences PhD Program, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA; Department of Computer Science, Stanford University, Stanford, CA, USA
CORnet funding source(s)
Supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 705498, US National Eye Institute (R01-EY014970), the Office of Naval Research (MURI-114407), the Simons Foundation (SCGB [325500, 542965]; 543061), the James S. McDonnell foundation (220020469), the US National Science Foundation (iis-ri1703161) and, in part, by the Semiconductor Research Corporation (SRC) and DARPA.

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