Single-neuron spike timing depends on global brain dynamics

Abstract

Event Abstract Back to Event Single-neuron spike timing depends on global brain dynamics Canolty Ryan1*, Karunesh Ganguly1, Steven Kennerley1, Kilian Koepsell1, Charles Cadieu1, Jonathan Wallis1 and Jose Carmena1 1 University of California, United States Brain rhythms have been suggested to play a role in both local cortical computation and long-range communication between areas, with a dynamic hierarchy of neuronal oscillations modulating activity at a variety of levels within the multi-scale brain network. Evidence supporting this view includes the micro-scale dependence of neuronal spiking upon the proximal local field potential (LFP), the meso-scale dependence of spiking upon spatial voltage patterns, and the macro-scale dependence of spiking upon phase coherence between distinct cortical areas. However, few previous studies examined multiple scales simultaneously and therefore the relative importance of these distinct spatiotemporal scales upon spike timing remains unknown. To investigate this issue, multiple single-unit spike times and LFPs were recorded via electrode arrays implanted bilaterally in either motor or prefrontal regions (primary motor and dorsal premotor sites in two subjects; cingulate, orbitofrontal, dorsolateral and ventrolateral prefrontal sites in two subjects). Here we show that many neurons exhibit a preference for distinct, frequency-specific multi-scale patterns of LFP phase coupling. In particular, using a probabilistic multivariate phase model, we show that the large-scale phase coupling structure present during the spike times of a given neuron is similar over repetitions of the same experimental task but is significantly different from the baseline phase coupling structure. Interestingly, however, the preferred phase coupling structure for two different neurons located in the same cortical area can be quite dissimilar, and the pattern of phase coupling for one given neuron can shift as a function of the behavior task. We discuss the implications these findings have for different models of neuronal computation and long-range communication, and consider ways in which future work may use this multi-scale dependence to improve decoding in brain-machine interfaces. 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: Ryan C, Ganguly K, Kennerley S, Koepsell K, Cadieu C, Wallis J and Carmena J (2010). Single-neuron spike timing depends on global brain dynamics. Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00264 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: Canolty Ryan, University of California, Berkeley, United States, rcanolty@gmail.com 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 Canolty Ryan Karunesh Ganguly Steven Kennerley Kilian Koepsell Charles Cadieu Jonathan Wallis Jose Carmena Google Canolty Ryan Karunesh Ganguly Steven Kennerley Kilian Koepsell Charles Cadieu Jonathan Wallis Jose Carmena Google Scholar Canolty Ryan Karunesh Ganguly Steven Kennerley Kilian Koepsell Charles Cadieu Jonathan Wallis Jose Carmena PubMed Canolty Ryan Karunesh Ganguly Steven Kennerley Kilian Koepsell Charles Cadieu Jonathan Wallis Jose Carmena 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.