Skip to content

sakimarquis/2DSpikingNetworkWorkingMemoryModel

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

2D spiking network model for working memory

  • This model has 2D neurons, which can represent 2D features by persistent activity in working memory.

  • The model needs some fine-tuning on parameters to produce binding error. I am tired of tuning parameters and just give up.

  • Thank Da-Hui Wang@BNU for instruction, thank Mengya Zhang@BNU for technical support.

For more information, please see:

  1. Compte, A., Brunel, N., Goldman-Rakic, P. S., & Wang, X. J. (2000). Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cerebral cortex, 10(9), 910-923.

  2. Gerstner, W., Kistler, W. M., Naud, R., & Paninski, L. (2014). Neuronal dynamics: From single neurons to networks and models of cognition. Cambridge University Press.

  3. Wei, Z., Wang, X. J., & Wang, D. H. (2012). From distributed resources to limited slots in multiple-item working memory: a spiking network model with normalization. Journal of Neuroscience, 32(33), 11228-11240.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published