Exploring Assembly dynamics in Mouse V1 during Natural Visual Stimulation

Abstract

Event Abstract Back to Event Exploring Assembly dynamics in Mouse V1 during Natural Visual Stimulation Hadi Roohani1, 2, Chris Häusler1, 2*, Bjorn M. Kampa3 and Martin P. Nawrot1, 2 1 Freie Univeristät Berlin, Institute of Biology, Germany 2 Bernstein Center for Computational Neuroscience, Germany 3 University of Zurich, Brain Research Institute, Switzerland The analysis of spatiotemporal activity patterns in the visual system is fundamental to understanding how visual scenes are encoded in cortex. Here we leverage state-of-the-art 3D Ca-imaging techniques (Gobel et al 2007) to record in vivo from primary visual cortex (V1) layer 2/3 of the mouse visual cortex during artificial and natural movie presentation. This technique allows simultaneous recording from large ensembles of neurons while retaining single cell resolution. The concurrent monitoring of many neurons within a functional column together with the use of dynamic stimuli allows for analysis of the size of local functional ensembles and inter-neuron correlations as well as the time-varying composition of the encoding ensemble. The analysis of such high dimensional data however remains technically challenging. One proposed method for detecting synchronous activity within cell assemblies is gravitational clustering (Baker & Gerstein 2000, Gerstein et al. 1985). The method proposes a transformation that maps the firing activity of neurons into motion of particles in a force field. These forces result in an aggregation of particles associated to neurons with correlated firing rates while separating particles representing neurons that fire independently. We combined gravitational clustering with principle component decomposition and conventional clustering methods to further reduce dimensionality, allowing us to better visualize the evolution of correlations between cells. To calibrate our method we simulated noise processes that exhibit a dynamic spatio-temporal correlation structure which is then used to drive neuronal spiking. Gravitational clustering was able to correctly identify correlated neuronal assemblies and to describe the epochs during which they formed. In application to the high-dimensional imaging data we focus on the identification of cooperative groups of neurons within a single cortical column and visualise changes in neural synchrony over time and between stimuli. Acknowledgements This research is funded by the German Research Association (DFG) within the Research Training Group GRK 1589/1 and by the Swiss National Science Foundation (Grant Nr 31-120480 to BMK). References Göbel W., Kampa B.M., Helmchen F. (2007) Imaging cellular network dynamics in three dimensions using fast 3D laser scanning. Nat Methods 4(1):73-9 Stuart N. Baker and George L. Gerstein (2000) Improvements to the Sensitivity of Gravitational Clustering for Multiple Neuron Recordings; Neural Computation 12: 2597-2620 Gerstein, G. L., Perkel, D. H., & Dayhoff, J. E. (1985). Cooperative firing activity in simultaneously recorded populations of neurons: Detection and measurement. Journal of Neuroscience 5, 881-889. Keywords: calcium imaging, Gravitational Clustering, Mouse, Natural Visual, Visual Cortex Conference: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011. Presentation Type: Poster Topic: sensory processing (please use "sensory processing" as keyword) Citation: Roohani H, Häusler C, Kampa BM and Nawrot MP (2011). Exploring Assembly dynamics in Mouse V1 during Natural Visual Stimulation. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00187 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: 22 Aug 2011; Published Online: 04 Oct 2011. * Correspondence: Mr. Chris Häusler, Freie Univeristät Berlin, Institute of Biology, Berlin, Germany, chris.hausler@bccn-berlin.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 Hadi Roohani Chris Häusler Bjorn M Kampa Martin P Nawrot Google Hadi Roohani Chris Häusler Bjorn M Kampa Martin P Nawrot Google Scholar Hadi Roohani Chris Häusler Bjorn M Kampa Martin P Nawrot PubMed Hadi Roohani Chris Häusler Bjorn M Kampa Martin P Nawrot 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.