ModelDB: Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)

Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)

Accession: 115813

"... We describe a connectionist model of human attentional networks to explore the possible interplays among the networks from a computational perspective. This model is developed in the framework of leabra (local, error-driven, and associative, biologically realistic algorithm) and simultaneously involves these attentional networks connected in a biologically inspired way. ... We evaluate the model by simulating the empirical data collected on normal human subjects using the Attentional Network Test (ANT). The simulation results fit the experimental data well. In addition, we show that the same model, with a single parameter change that affects executive control, is able to simulate the empirical data collected from patients with schizophrenia. This model represents a plausible connectionist explanation for the functional structure and interaction of human attentional networks."
Reference: Wang H, Fan J (2007) Human attentional networks: a connectionist model. J Cogn Neurosci 19:1678-89 [PubMed]

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Model Information (Click on a link to find other models with that property)

Model Type:	Network; Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	Emergent/PDP++;
Model Concept(s):	Activity Patterns; Winner-take-all; Action Selection/Decision Making; Schizophrenia;
Implementer(s):

Model files

Help downloading and running models

antonpdp

readme.html

antonpdp-3.7.3.1.proj.gz

Read this document for the model described in the following paper:

Wang, H., & Fan, J. (2007). Human attentional networks: A
connectionist model. Journal of Cognitive Neuroscience, 19(10),
1678-1689.

The model was developed using the PDP++ simulation package
(http://grey.colorado.edu/emergent/index.php/PDP++PDP++.html) and is
available in its standard .proj.gz format. It requires PDP++ 3.1 to
run.

After loading the project into leabra, just click the "run" button in
the Epoch process window. The model will run each condition once. The
results will show in the log window.

For more information, please contact Hongbin.Wang@uth.tmc.edu

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