Influence of inhibition on sequence replay - A mean field model

Abstract

Event Abstract Back to Event Influence of inhibition on sequence replay - A mean field model Alvaro Tejero Cantero1, Axel Kammerer1* and Christian Leibold1 1 LMU Munich, Department of Biology II, Germany Memory sequences can be stored using networks of binary neurons with binary synapses. We investigate different forms of inhibition and their effect on storage, extending on a mean field approach by Leibold and Kempter (2006) 1. There, it was shown that capacity increases as the code becomes more sparse (less neurons per memory), but that the network cannot replay if the code is too sparse.Here, we show that the introduction of global inhibitory feedback allows successful replay of sequences with sparser representations, thereby increasing the memory capacity of the network. At the same time,the range of firing thresholds compatible with replay becomes broader, suggesting a more robust replay.Further extending the analysis, we look at transient replay. The system shows a graceful degradation of memory replay when departing from the optimal replay conditions, producing correct, but transient, memory replay before falling into a state of silence or non memory-related activity.We discuss the precise requirements for an inhibitory coupling to enhance memory capacity and robustness and the possible biological implications of our findings. Figure: Region of stable replay predicted by the mean field model without inhibition (upper wedge) and with inhibition (lower brown area). Shown is the number of iterations before the memory replay fails, depending on the threshold and the number of active neurons in a memory pattern. Brown areas show stable replay over all 100 iterations. Inhibition allows stable replay of sparser patterns, increasing the capacity. Both cases show transient replay over about 10 iterations. With inhibition, this means even sparser patterns can be stored, but no sequence will exceed the length of 10. Figure 1 References 1C. Leibold, R. Kempter, Neural Computation, 2006, 18, 904-941 Keywords: computational neuroscience Conference: Bernstein Conference on Computational Neuroscience, Berlin, Germany, 27 Sep - 1 Oct, 2010. Presentation Type: Presentation Topic: Bernstein Conference on Computational Neuroscience Citation: Tejero Cantero A, Kammerer A and Leibold C (2010). Influence of inhibition on sequence replay - A mean field model. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00085 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: 14 Sep 2010; Published Online: 23 Sep 2010. * Correspondence: Dr. Axel Kammerer, LMU Munich, Department of Biology II, Munich, Germany, kammerer@bio.lmu.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 Alvaro Tejero Cantero Axel Kammerer Christian Leibold Google Alvaro Tejero Cantero Axel Kammerer Christian Leibold Google Scholar Alvaro Tejero Cantero Axel Kammerer Christian Leibold PubMed Alvaro Tejero Cantero Axel Kammerer Christian Leibold 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.