Projection Recurrent Neural Network Model: A New Strategy to Solve Weapon-Target Assignment Problem

2019 ◽  
Vol 50 (3) ◽  
pp. 3045-3057
Author(s):  
Alireza Shojaeifard ◽  
Ali Nakhaei Amroudi ◽  
Amin Mansoori ◽  
Majid Erfanian
2007 ◽  
Vol 19 (3) ◽  
pp. 409-419 ◽  
Author(s):  
Tom Verguts

A task that has been intensively studied at the neural level is f lutter discrimination. I argue that f lutter discrimination entails a combination of a temporal assignment problem and a quantity comparison problem, and propose a neural network model of how these problems are solved. The network combines unsupervised and one-layer supervised training. The unsupervised part clusters input features (stimulus + time window) and the supervised part categorizes the resulting clusters. After training, the model shows a good fit with both neural and behavioral properties. New predictions are outlined and links with other cognitive domains are pointed out.


2021 ◽  
Vol 193 (12) ◽  
Author(s):  
Salar Valizadeh Moghadam ◽  
Ahmad Sharafati ◽  
Hajar Feizi ◽  
Seyed Mohammad Saeid Marjaie ◽  
Seyed Babak Haji Seyed Asadollah ◽  
...  

Author(s):  
C. Fernando Mugarra Gonzalez ◽  
Stanisław Jankowski ◽  
Jacek J. Dusza ◽  
Vicente Carrilero López ◽  
Javier M. Duart Clemente

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