Code for simulations in "Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory"

Name: Code for simulations in "Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory"
Keywords: Matlab, winner-take all models, simulation

Marx, Svenja; Gruenhage, Gina; Walper, Daniel; Rutishauser, Ueli; Einhäuser, Wolfgang

Found an issue? Give us feedback

ZENODOarrow_drop_down

ZENODO

Software . 2015

License: CC BY

Data sources: Datacite

Code for simulations in "Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory"

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Jan 2015Publisher:ZenodoFunded by:NIH | The Neurobiology of Socia..., DFG | unidentified, EC | SECO +2 projects

Authors: Marx, Svenja; Gruenhage, Gina; Walper, Daniel; Rutishauser, Ueli; Einhäuser, Wolfgang;

doi: 10.5281/zenodo.573026

Code for simulations in "Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory"

- Summary
- Subjects
- Related research
  (3)
- Metrics

Abstract

This upload contains the source code of the simulations in this paper: Marx S, Gruenhage G, Walper D, Rutishauser U, Einhäuser W. Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory. Ann N Y Acad Sci. 2015 Mar;1339:138-53. doi: 10.1111/nyas.12575. Please see the readme.txt file for further instructions.

Related Organizations

Philipps-University of Marburg
Germany
Cedars-Sinai Medical Center
United States

Keywords

Matlab, winner-take all models, simulation

3 Research products, page 1 of 1

State-Dependent Computation Using Coupled Recurrent Networks
2009IsSupplementTo
Computation in Dynamically Bounded Asymmetric Systems
2015IsSupplementTo
Competition with and without priority control: linking rivalry to attention through winner‐take‐all networks with memory
2015IsSupplementTo

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average