Modeling Rate Remapping in Dentate Gyrus

Abstract

Event Abstract Back to Event Modeling Rate Remapping in Dentate Gyrus Bailu Si1* and Alessandro Treves1, 2 1 SISSA, Cognitive Neuroscience Sector, Italy 2 Center for the Biology of Memory, NTNU, Kavli Institute for Systems Neuroscience, Norway Hypothesized to be the neural basis for pattern separation, dentate gyrus (DG) has been proposed to separate similar cortical inputs into sparse representations before the input patterns are stored in memory in Hippocampus. This hypothesis has recently been confirmed experimentally by Leutgeb and colleagues. They showed that when the shape of the recording environment morphs, the multiple firing fields of DG granule cells change progressively and independently, i.e. rate remap, and that the activity patterns in similar environments are decorrelated as compared with the inputs. Here we present a simple non-dynamical model where DG units are described by a threshold-linear transfer function, and where each DG unit receives both contextual-spatial modulated inputs from 1,000 medial entorhinal cortex (mEC) model grid units and contextual but non-spatial input from lateral entorhinal cortex (lEC) model units. The feed-forward weights from mEC units to DG units are updated according to a Hebbian rule as the virtual rodent explores in the two extreme environments. Through competitive Hebbian learning, DG place fields emerge. In addition the context modulation from the EC pathway makes the DG response depend on the environment when the environment morphs. As a result, when the network is tested in the morphing environment after training, the activity patterns of DG units show rate remapping. Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Poster Presentation Topic: Computational neuroscience Citation: Si B and Treves A (2019). Modeling Rate Remapping in Dentate Gyrus. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.094 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 May 2009; Published Online: 09 May 2019. * Correspondence: Bailu Si, SISSA, Cognitive Neuroscience Sector, Trieste, Italy, bailusi@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 Bailu Si Alessandro Treves Google Bailu Si Alessandro Treves Google Scholar Bailu Si Alessandro Treves PubMed Bailu Si Alessandro Treves 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.