02622nab a2200277 i 4500 publ11413 20200224143858.0 170523s2011 hu o 0|| zxx d 0306-4522 10.1016/j.neuroscience.2011.02.048 doi 1849157 mtmt SZTE Publicatio Repozitórium hun zxx Gombkötő Péter Neuronal code of spatial visual information in the caudate nucleus [elektronikus dokumentum] / Gombkötő Péter 2011 225-231 NEUROSCIENCE 182 Earlier reports described huge overlapping visual receptive fields and the absence of retinotopic organization in the dorsolateral, caudal part of the caudate nucleus. In the present study we suggest a possible alternative mechanism for the coding of spatial visual information. Extracellular microelectrode recordings were carried out in halothane-anesthetized, immobilized, artificially ventilated cats. In order to investigate the responsiveness of the single neurons to visual information arriving from different sites of the receptive field, we divided the visual fields to 20 parts of equal size and stimulated the individual parts one-by-one. We found that each single visual caudate nucleus (CN) neuron can carry information about stimulus locations throughout the whole physically approachable visual field of the investigated eye. A large majority (85%) of these neurons exhibited significantly different responses to stimuli appearing in different regions of their huge receptive field. Thus these neurons appear to have the ability to provide information on the site of the stimulus via their discharge rate. The huge receptive fields in combination with the spatial selectivity suggest that these caudate nucleus neurons may serve as panoramic localizers. On the population level, the sites of maximal responsiveness of the visual neurons are distributed over the whole extent of the receptive fields. We argue that groups of these panoramic localizer neurons with different locations of maximal stimulus preference should have the ability to accurately code the locations of visual stimuli. We propose this distributed population code of visual information as an alternative information processing mechanism. Rokszin Alice aut Berényi Antal aut Braunitzer Gábor aut Utassy Györgyi aut Benedek György aut Nagy Attila aut http://publicatio.bibl.u-szeged.hu/11413/1/Gombkoto_Neurosci_2011.pdf Dokumentum-elérés