Event Abstract Back to Event Multicompartmental Model of Neurons Expressing Channelrhodopsin Konstantin Nikolic1* and Nir Grossman1 1 Imperial College London, United Kingdom Optogenetic technology combines genetics and optics to create tools for controlling and interfering with cell functions. In the case of neuroscience it is a very important tool for interfacing with neurons and neural circuits. Light-sensitive proteins such as channelrhodopsin-2 (ChR2) or halorhodopsin (NpHR) are also ion channels or pumps and can be genetically expressed in the host cells. The specific parts of cells where expression occurs become light sensitive and external light sources can be used, in very precise spatio-temporal fashion if needed, to remotely generate ionic flux which causes membrane depolarisation or hyperpolarisation, depending on the type of ion channels. Design of various mutants of ChR2 and other light sensitive ion channels and pumps is now well within the reach of modern molecular biology. In contrary to conventional electrical stimulations, the ChR2 evoked currents are sensitive to the state of neurons they drive. ChR2 behaves as a complex light-controlled, voltage-dependent current driver (1-3), coupled to a dynamic-threshold voltage-oscillator (neuron). We developed a model of neurons expressing ChR2 which includes: (1) a photocycle model of ChR2 which gives the time evolution of functional states of ChR2 complex as a function of time and light intensity [1,2], (2) the current-voltage characteristic of ChR2 ion channels [3] (zero reverse potential was assumed, as suggested by experiments), (3) full mutlicompartmental Hodgkin-Huxley type model of the neuron [3]. The simulation code was developed on two platforms: Matlab and Simulink and it is available upon request. The model and the conclusions presented in this study can help to interpret experimental results, design illumination protocols and seek improvement strategies in the nascent optogenetics technology. The software is a very useful tool for computational modelling of networks of neurons which incorporate photosensitized neurons, as well as for simulations of neural computations within individual neurons. Acknowledgment: European Commission, FP7-ICT-2009, Proj. No. 270324 [1] K. Nikolic et al. (2009). Photocycles of channelrhodopsin-2. Photochemistry & Photobiology 85, 400-411 [2] K. Nikolic et al. (2006). Modeling and engineering aspects of ChannelRhodopsin2 system for neural photostimulation, Proc 28th Conf IEEE Eng Med Biol Soc, 1626-1629 [3] N. Grossman et al. (2011). Modeling Study of the Light Stimulation of a Neuron Cell with Channelrhodopsin-2 Mutants. IEEE Trans Biomed Eng, in-press ISSN:1558-2531 Figure 1 Keywords: computational neuroscience Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: Computational neuroscience Citation: Nikolic K and Grossman N (2011). Multicompartmental Model of Neurons Expressing Channelrhodopsin. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00004 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: 17 Oct 2011; Published Online: 19 Oct 2011. * Correspondence: Dr. Konstantin Nikolic, Imperial College London, London, United Kingdom, konstantin.nikolic@uwl.ac.uk 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 Konstantin Nikolic Nir Grossman Google Konstantin Nikolic Nir Grossman Google Scholar Konstantin Nikolic Nir Grossman PubMed Konstantin Nikolic Nir Grossman 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.