The flow of expected and unexpected sensory information through the distributed forebrain network

Abstract

Event Abstract Back to Event The flow of expected and unexpected sensory information through the distributed forebrain network Maolong Cui1*, Jozsef Fiser1, Don Katz1 and Alfredo Fontanini2 1 Brandeis University, Department of Psychology, United States 2 SUNY Stony Brook, Dpt Neurobiology , United States Forebrain taste information processing is accomplished mainly by three reciprocally connected forebrain regions -primary gustatory cortex (GC), (basolateral) amygdala (AM), and orbitofrontal cortex (OFC)- loosely characterized as the neural sources of sensory, palatability-related, and cognitive information, respectively. It has been proposed that the perception of complex taste stimuli involves an intricate flow of information between these regions in real time. However, empirical confirmation of this hypothesis and a detailed analysis of the multidirectional flow of information during taste perception have not yet been presented before. We have simultaneously recorded local field potentials from GC, AM, and OFC in awake behaving rats under two conditions as controlled aliquots of either preferred or not preferred taste stimuli were placed directly on their tongues via intra-oral cannulae. Half of the deliveries were "active", as the rat pressed a bar to receive the taste upon receiving an auditory ’go’ signal, the other half of deliveries were "passive" when the rat received a tastant at random times. Peri-delivery signals from the three areas were analyzed by computing transfer entropy, a method that measures directional information transfer between coupled dynamic systems by assessing the reduction of uncertainty in predicting the current state of the systems based on their previous states. The results of this analysis reveal the complexity and context specificity of perceptual neural taste processing. Passive taste deliveries caused an immediate and strong flow of information that ascended from GC to both AM and OFC (p Conference: Computational and Systems Neuroscience 2010, Salt Lake City, UT, United States, 25 Feb - 2 Mar, 2010. Presentation Type: Poster Presentation Topic: Poster session III Citation: Cui M, Fiser J, Katz D and Fontanini A (2010). The flow of expected and unexpected sensory information through the distributed forebrain network. Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00278 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 05 Mar 2010; Published Online: 05 Mar 2010. * Correspondence: Maolong Cui, Brandeis University, Department of Psychology, Waltham, United States, mlcui@brandeis.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Maolong Cui Jozsef Fiser Don Katz Alfredo Fontanini Google Maolong Cui Jozsef Fiser Don Katz Alfredo Fontanini Google Scholar Maolong Cui Jozsef Fiser Don Katz Alfredo Fontanini PubMed Maolong Cui Jozsef Fiser Don Katz Alfredo Fontanini Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.