Title
The dual-route hypothesis: evaluating a neurocomputational model of fear conditioning in rats
Abstract
Research on the neural bases of emotion raises much controversy and few quantitative models exist that can help address the issues raised. Here we replicate and dissect one of those models, Armony and colleagues' neurocomputational model of fear conditioning, which is based on LeDoux's dual-route hypothesis regarding the rat fear circuitry. The importance of the model's modular abstraction of the neuroanatomy, its use of population coding, and in particular the interplay between thalamo-amygdala and thalamo-cortical pathways are tested. We show that a trivially minimal version of the model can produce conditioning to a reinforced stimulus without recourse to the dual pathway structure, but a modification of the original model, which nevertheless preserves the thalamo-amygdala and (reduced) thalamo-cortical pathways, enables stronger conditioning to a conditioned stimulus. Implications for neurocomputational modelling approaches are discussed.
Year
DOI
Venue
2009
10.1080/09540090802414085
Connect. Sci.
Keywords
Field
DocType
rat fear circuitry,quantitative model,thalamo-cortical pathway,neurocomputational model,dual pathway structure,original model,neurocomputational modelling approach,fear conditioning,dual-route hypothesis,stronger conditioning,emotion,population coding,computer and information science,conditioned stimulus,technology
Fear conditioning,Neural coding,Computer science,Cognitive science,Conditioning,Amygdala,Artificial intelligence,Stimulus (physiology),Neuroanatomy,Classical conditioning,Information and Computer Science
Journal
Volume
Issue
ISSN
21
1
0954-0091
Citations 
PageRank 
References 
9
0.77
4
Authors
3
Name
Order
Citations
PageRank
Robert Lowe111112.22
mark d humphries2434.48
Tom Ziemke368167.03