Event Abstract Back to Event Field potentials from macaque area V4 predict attention in single trials with ~100% accuracy David Rotermund1, Simon Neitzel2, Udo Ernst1*, Sunita Mandon2, Katja Taylor2, Yulia Smiyukha2 and Klaus Pawelzik1 1 University of Bremen, Department for Theoretical Physics, Center for Cognitive Sciences, Germany 2 University of Bremen, Department for Theoretical Neurobiology, Center for Cognitive Science, Germany Coherent oscillations and synchronous activity are suggested to play an important role in selective processing and dynamic routing of information across the primary visual cortical areas. In this contribution we show that local power spectral amplitudes and phase coherency between distant recording sites allow to distinguish almost perfectly between two attentional states in a behavioural task, thus giving strong quantitative support for a functional role of oscillatory neural dynamics. Macaque monkeys were trained to perform a delayed-match-to-sample task, in which the animals had to direct attention to one of two sequences of morphing shapes presented on a computer screen. The task was to signal the reoccurrence of the initial shape of the attended morphing sequence. Recordings of local field potentials (LFPs) were performed with an array of chronically implanted intracortical microelectrodes in one animal, and epidural recording arrays in two animals. These arrays covered parts of areas V1 and V4. We employed different stimulus sizes and configurations, ranging from 1 to 4 degrees in visual angle for the shape's diameters, and from 1 to 4 degrees visual angle in shape separation. The signals were split into their frequency components by applying a Morlet-wavelet transform. From the transformed data, we computed the phase coherency (i.e. a complex-valued scalar with amplitude <=1 and a phase difference) averaged over a time interval of 2500 ms, for every electrode pair. We then used a support vector machine (SVM) to classify the attended state (attention directed either to one or to the other sequence) from the power spectral amplitudes and mean phase differences between two recording sites. Strikingly, nearly perfect state identification (up to 99.9% correct) was possible from several pairs of electrodes in V4, mainly in the frequency bands of 48 Hz and 61 Hz. From V1-V4 electrode pairs, classification with up to 76% correct was possible. A similar performance was obtained using the spectral power of single electrodes in V4 in the Gamma frequency range. Our results show that power spectral amplitudes as well as phase differences between signals from V4 can accurately inform about the direction of attention to different locations in visual space in every single trial. This effect is robust against continuous changes of the shapes at the attended location. In addition, these findings are stable under the use of different recording techniques and various stimulus configurations, thus pointing to a key mechanism based on coherent oscillations for processing information under attention. Conference: Bernstein Conference on Computational Neuroscience, Frankfurt am Main, Germany, 30 Sep - 2 Oct, 2009. Presentation Type: Poster Presentation Topic: Information processing in neurons and networks Citation: Rotermund D, Neitzel S, Ernst U, Mandon S, Taylor K, Smiyukha Y and Pawelzik K (2009). Field potentials from macaque area V4 predict attention in single trials with ~100% accuracy. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.068 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: 26 Aug 2009; Published Online: 26 Aug 2009. * Correspondence: Udo Ernst, University of Bremen, Department for Theoretical Physics, Center for Cognitive Sciences, Bremen, Germany, udo@neuro.uni-bremen.de 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 David Rotermund Simon Neitzel Udo Ernst Sunita Mandon Katja Taylor Yulia Smiyukha Klaus Pawelzik Google David Rotermund Simon Neitzel Udo Ernst Sunita Mandon Katja Taylor Yulia Smiyukha Klaus Pawelzik Google Scholar David Rotermund Simon Neitzel Udo Ernst Sunita Mandon Katja Taylor Yulia Smiyukha Klaus Pawelzik PubMed David Rotermund Simon Neitzel Udo Ernst Sunita Mandon Katja Taylor Yulia Smiyukha Klaus Pawelzik 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.
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