Mysore, Shreesh P. and Quartz, Steven R. (2005) Modeling Structural Plasticity in the Barn Owl Auditory Localization System with a Spike-Time Dependent Hebbian Learning Rule. In: 2005 Proceedings of the IEEE International Joint Conference on Neural Networks. IEEE , Piscataway, NJ, pp. 2766-2771. ISBN 0-7803-9048-2 http://resolver.caltech.edu/CaltechAUTHORS:20110818-114301855
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Auditory localization behavior in barn owls is mediated by the integration of topographically encoded visual and auditory space maps. In juvenile owls, disruption of the audio-visual map alignment by exposure to spectacles that laterally shift the visual input results in behavioral adaptation over the course of several weeks. It has been reported in literature that this adaptation is produced by architectural plasticity in the neural circuits encoding the space maps. It is known that this plasticity is guided by visual input in a topographic manner, and that the error signal is embedded in the firing dynamics of neurons in the inferior colliculus. In this work, we use leaky integrate-and-fire neurons to model the key elements in the auditory localization circuit of barn owls. We demonstrate that a Hebbian spike-time dependent learning rule, coupled with an activity-dependent mechanism that promotes growth, can account for the essentials of circuit-level plasticity associated with prism experience. We point out the importance of inhibition in both the normal functioning of this circuit, and prism-induced plasticity, and comment on potential mechanisms for activity-induced growth.
|Item Type:||Book Section|
|Additional Information:||© 2005 IEEE. Issue Date: 31 July-4 Aug. 2005; Date of Current Version: 27 December 2005. We thank Richard Kempter for discussion on the role of GABA in facilitating selective auditory responses at the ICX. This work was supported in part by NSF grant 0093757.|
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|Official Citation:||Mysore, S.P.; Quartz, S.R.; , "Modeling structural plasticity in the barn owl auditory localization system with a spike-time dependent Hebbian learning rule," Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on , vol.5, no., pp. 2766- 2771 vol. 5, 31 July-4 Aug. 2005 doi: 10.1109/IJCNN.2005.1556363|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Jason Perez|
|Deposited On:||18 Aug 2011 23:11|
|Last Modified:||23 Aug 2016 10:04|
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