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ESANN
2008

Computational model for amygdala neural networks

13 years 5 months ago
Computational model for amygdala neural networks
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments with rats. Our model is based on neurobiological data. Simple formal neurons and an adaptive Hebbian rule are the key elements of the model. The results are compatible with neuronal activation maps obtained with C-Fos markers. The model also enables interesting predictions.
Jean Marc Salotti
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ESANN
Authors Jean Marc Salotti
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