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Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return


Satel, J and Story, R and Hilchey, MD and Wang, Z and Klein, RM, Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return, Proceedings of the 2013 International Symposium on Attention in Cognitive Systems, 3-9 August 2013, Beijing, China, pp. 1-12. (2013) [Refereed Conference Paper]

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When the interval between a transient flash of light (a "cue" ) and a second visual response signal (a "target") exceeds at least 200 ms, responding is slowest in the direction indicated by the first signal. This phenomenon is commonly referred to as inhibition of return (IOR). The dynamic neural field model (DNF) has proven to have broad explanatory power for IOR, effectively capturing many empirical results. Previous work has used a short-term depression (STD) implementation of IOR, but this approach fails to explain many behavioral phenomena observed in the literature. Here, we explore a variant model of IOR involving a combination of STD and delayed direct collicular inhibition. We demonstrate that this hybrid model can better reproduce established behavioural results. We use the results of this model to propose several experiments that would yield particularly valuable insight into the nature of the neurophysiological mechanisms underlying IOR.

Item Details

Item Type:Refereed Conference Paper
Research Division:Psychology and Cognitive Sciences
Research Group:Cognitive Sciences
Research Field:Computer Perception, Memory and Attention
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Psychology and Cognitive Sciences
UTAS Author:Satel, J (Dr Jason Satel)
ID Code:111170
Year Published:2013
Deposited By:Psychology
Deposited On:2016-09-01
Last Modified:2018-03-16

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