SenseLab
Computational model
  Data
Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019)
Karthik Soman
SomanEtAl2018 [5115056]
This model shows how spatial representations in 3D space could emerge using unsupervised neural networks. Model is a hierarchical one which means that it has multiple layers, where each layer has got a specific function to achieve. This architecture is more of a generalised one i.e. it gives rise to different kinds of spatial representations after training.
  • Soman K, Chakravarthy S, Yartsev MM (2018) Show Other
  • Soman, Karthik [karthi.soman at gmail.com] Show Other
karthi.soman@gmail.com
Karthik Soman, Srinivasa Chakravarthy, Michael M Yartsev, "A hierarchical anti-Hebbian network model for the formation of spatial cells in three-dimensional space", Nature Communications (2018) 9:4046 DOI: 10.1038/s41467-018-06441-5
False
False
Other categories referring to Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019)
Revisions: 10
Last Time: 10/25/2019 7:59:46 AM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin