Title
A dual association model for the extinction of animal conditioning
Abstract
Reversal of synaptic plasticity has been the prevalent theory for extinction of animal conditioning. Phenomena like faster reacquisition after extinction are explained via residual synaptic plasticity in the relevant neural circuits. However, this account cannot explain many recent behavioral findings. This includes phenomena like savings in extinction, reinstatement, spontaneous recovery and renewal. These phenomena point to the possibility that extinction is not a mere reversal of the associations formed during acquisition. It instead involves the superimposition of some separate decremental process that works to inhibit the previously learned responses. We have explored this dual-pathway account using a neurocomputational model of conditioning. In our model, associations related to acquisition and extinction are maintained side by side as a result of the interaction between general neural learning processes and the presence of lateral inhibition between neurons. The model captures most of the relevant behavioral phenomena that prompted the hypothesis of separate acquisition and extinction pathways. It also shows how seemingly complex behavior can emerge out of relatively simple underlying neural mechanisms.
Year
DOI
Venue
2011
10.1016/j.neucom.2011.06.022
Neurocomputing
Keywords
Field
DocType
animal conditioning,relevant neural circuit,neurocomputational model,separate acquisition,dual-pathway account,recent behavioral finding,simple underlying neural mechanism,mere reversal,general neural,dual association model,extinction pathway,cognitive model,conditioning,cognitive modeling,savings,lateral inhibition,synaptic plasticity
Neural learning,Neuroscience,Spontaneous recovery,Pattern recognition,Lateral inhibition,Conditioning,Artificial intelligence,Synaptic plasticity,Cognitive model,Biological neural network,Mathematics,Extinction
Journal
Volume
Issue
ISSN
74
17
0925-2312
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Ashish Gupta129256.19
Lovekesh Vig216031.36
David C. Noelle32812.04