A biologically plausible network of spiking neurons can simulate human EEG responses

Abstract

Event Abstract Back to Event A biologically plausible network of spiking neurons can simulate human EEG responses Christoph S. Herrmann1, 2*, Ingo Frund2 and Frank W. Ohl3 1 Otto-von-Guericke University, Bernstein Group for Computational Neuroscience, Germany 2 Otto-von-Guericke University, Institute of Psychology, Germany 3 Leibniz Institute for Neurobiology, Germany Early gamma band responses (GBRs) of the human electroencephalogram (EEG) accompany sensory stimulation. These GBRs are modulated by exogenous stimulus properties such as size or contrast (size effect). In addition, cognitive processes modulate GBRs, e.g. if a subject has a memory representation of a perceived stimulus (known stimulus) the GBR is larger as if the subject had no such memory representation (unknown stimulus) (memory effect). Here, we simulate both effects in a simple random network of 1000 spiking neurons. The network was composed of 800 excitatory and 200 inhibitory Izhikevich neurons. During a learning phase, different stimuli were presented to the network, i.e. certain neurons received input currents. Synaptic connections were modified according to a spike timing dependent plasticity (STDP) learning rule. In a subsequent test phase, we stimulated the network with (i) patterns of different sizes to simulate the abovementioned size effect and (ii) with patterns that were or were not presented during the learning phase to simulate the abovementioned memory effect. In order to compute a simulated EEG from this network, the membrane voltage of all neurons was averaged. After about 1 hour of learning, the network displayed event-related responses. After 24 hours of learning, these responses were qualitatively similar to the human early GBRs. There was a general increase in response strength with increasing stimulus size and slightly stronger responses for learned stimuli. We demonstrated that within one neural architecture early GBRs can be modulated both by stimulus properties and by basal learning mechanisms mediated via spike timing dependent plasticity. Conference: Bernstein Conference on Computational Neuroscience, Frankfurt am Main, Germany, 30 Sep - 2 Oct, 2009. Presentation Type: Poster Presentation Topic: Learning and plasticity Citation: Herrmann CS, Frund I and Ohl FW (2009). A biologically plausible network of spiking neurons can simulate human EEG responses. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.111 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: 27 Aug 2009; Published Online: 27 Aug 2009. * Correspondence: Christoph S Herrmann, Otto-von-Guericke University, Bernstein Group for Computational Neuroscience, Magdeburg, Germany, christoph.herrmann@ovgu.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 Christoph S Herrmann Ingo Frund Frank W Ohl Google Christoph S Herrmann Ingo Frund Frank W Ohl Google Scholar Christoph S Herrmann Ingo Frund Frank W Ohl PubMed Christoph S Herrmann Ingo Frund Frank W Ohl 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.