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Event Abstract Back to Event The dynamical response properties of cortical neurons Daniele Linaro1, Istvan Biro1 and Michele Giugliano1* 1 Universiteit Antwerpen, Department of Biomedical Sciences, Belgium Cortical neurons are often classified by current-frequency relationship. Such a static description is inadequate to interpret neuronal responses to time-varying stimuli. Theoretical studies suggested that single-cell dynamical response properties are necessary to interpret ensemble responses to fast input transients. Further, it was shown that input-noise linearizes and boosts the response bandwidth, and that the interplay between the barrage of noisy synaptic currents and the spike-initiation mechanisms determine the dynamical properties of the firing rate. To test these model predictions, we estimated the linear response properties of layer 5 pyramidal cells by injecting a superposition of a small-amplitude sinusoidal wave and a background noise. We characterized the evoked firing probability across many stimulation trials and a range of oscillation frequencies (1-1000 Hz), quantifying response amplitude and phase-shift while changing noise statistics. We found that neurons track unexpectedly fast transients, as their response amplitude has no attenuation up to 200 Hz. This cut-off frequency is higher than the limits set by passive membrane properties (approximately 50 Hz) and average firing rate (approximately 20 Hz) and is not affected by the rate of change of the input. Finally, above 200 Hz, the response amplitude decays as a power-law with an exponent that is independent of voltage fluctuations induced by the background noise. Acknowledgements Financial support from the University of Antwerp, the Flanders Research Foundation (12C9112N), and the European Commission (FP7-FETOPEN project "BRAINLEAP", contract m. 306502) is kindly acknowledged. References Köndgen, H., Geisler, C., Fusi, S. , Lüscher, H.-R. , Wang, X.J. and Giugliano, M. (2008) The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral Cortex 18(9):2086-97. Linaro D, Couto J, Giugliano M (2014) Command-line cellular electrophysiology for conventional and real-time closed-loop experiments. J Neurosci Methods. 2014 Jun 15;230:5-19. doi: 10.1016/j.jneumeth.2014.04.003. Robinson HPC, (2009), “Synaptic conductances and spike generation in cortical cells.” In: Dynamic clamp: from Principles to Applications, Springer. Testa-Silva G, Verhoog MB, Linaro D, de Kock CP, Baayen JC, Meredith RM, De Zeeuw CI, Giugliano M, Mansvelder HD (2014) High bandwidth synaptic communication and frequency tracking in human neocortex. PLoS Biol. 2014 Nov 25;12(11):e1002007. doi: 10.1371/journal.pbio.1002007. Keywords: dynamic-clamp, human cortical neurons, correlations, Noise, action potential initation Conference: Spike Initiation: Models & Experiments, Prague, Czechia, 22 Jul - 22 Jul, 2015. Presentation Type: Oral Presentation Topic: Neuroscience Citation: Linaro D, Biro I and Giugliano M (2015). The dynamical response properties of cortical neurons. Front. Neurosci. Conference Abstract: Spike Initiation: Models & Experiments. doi: 10.3389/conf.fnins.2015.90.00002 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: 30 Jun 2015; Published Online: 06 Jul 2015. * Correspondence: Prof. Michele Giugliano, Universiteit Antwerpen, Department of Biomedical Sciences, Wilrijk, Flanders, 2610, Belgium, michele.giugliano@sissa.it 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 Daniele Linaro Istvan Biro Michele Giugliano Google Daniele Linaro Istvan Biro Michele Giugliano Google Scholar Daniele Linaro Istvan Biro Michele Giugliano PubMed Daniele Linaro Istvan Biro Michele Giugliano 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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