Event Abstract Back to Event Coding of spatial visual information in the caudate nucleus Attila Nagy1*, Antal Berényi1, Zsuzsanna Paroczy1, Zita Markus1, Alice Rokszin1, Gabor Braunitzer1 and Gyorgy Benedek1 1 Department of Physiology, University of Szeged, Hungary Whereas the role of the caudate nucleus (CN) in motor control has been widely studied, considerably less attention has been paid to the clarification of its role in the visual feedback of motor actions. In the present study, we set out to analyze the visual spatial information processing of neurons in the feline CN. Extracellular single-unit recordings were made in the CN of halothane-anesthetized, immobilized, artificially respirated cats. The CN neurons were sensitive to drifting gratings. They responded to gratings of low spatial frequencies and exhibited low spatial resolution and fine spatial frequency tuning. On the other hand, the CN neurons preferred high temporal frequencies, and exhibited high temporal resolution and fine temporal frequency tuning. The visual receptive fields of the CN units proved to be large, all of them covering an extensive part of both the contra- and ipsilateral visual hemifields. No signs of retinotopy were observed. The CN neurons have the ability to provide information via their discharge rate at the site of the stimulus, and thus they may serve as panoramic localizers. In addition, the sites of maximal responsiveness of the visual CN neurons are distributed over the whole extent of the large receptive fields. Our findings support the idea that there is a distributed population code of visual information in the CN and suggest a functional relationship of the CN to the ascending tectofugal visual system that may be involved in motion detection, facilitating the detection of changes during the self-movement of the animal. Conference: 12th Meeting of the Hungarian Neuroscience Society, Budapest, Hungary, 22 Jan - 24 Jan, 2009. Presentation Type: Poster Presentation Topic: Developmental neurobiology and subcortical functions Citation: Nagy A, Berényi A, Paroczy Z, Markus Z, Rokszin A, Braunitzer G and Benedek G (2009). Coding of spatial visual information in the caudate nucleus. Front. Syst. Neurosci. Conference Abstract: 12th Meeting of the Hungarian Neuroscience Society. doi: 10.3389/conf.neuro.01.2009.04.068 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: 03 Mar 2009; Published Online: 03 Mar 2009. * Correspondence: Attila Nagy, Department of Physiology, University of Szeged, Szeged, Hungary, nagya@phys.szote.u-szeged.hu 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 Attila Nagy Antal Berényi Zsuzsanna Paroczy Zita Markus Alice Rokszin Gabor Braunitzer Gyorgy Benedek Google Attila Nagy Antal Berényi Zsuzsanna Paroczy Zita Markus Alice Rokszin Gabor Braunitzer Gyorgy Benedek Google Scholar Attila Nagy Antal Berényi Zsuzsanna Paroczy Zita Markus Alice Rokszin Gabor Braunitzer Gyorgy Benedek PubMed Attila Nagy Antal Berényi Zsuzsanna Paroczy Zita Markus Alice Rokszin Gabor Braunitzer Gyorgy Benedek 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.