PLoS BiologyNeurosciencePeer-reviewed journal article
Community-based Reconstruction and Simulation of a Full-scale Model of Region CA1 of Rat Hippocampus
Armando RomaniiD, Alberto AntoniettiiD, Davide BellaiD, Julian M. L. BuddiD, Elisabetta GiacaloneiD, Kerem KurbaniD, Sára SárayiD, Marwan AbdellahiD, Alexis ArnaudoniD, Elvis BociiD, Cristina ColangeloiD, Jean-Denis CourcoliD, Thomas DelemontexiD, András EckeriD, Joanne E. FalckiD, Cyrille FavreauiD, Michael GevaertiD, Juan HernandoiD, Joni HerttuaineniD, Genrich Ivaska, Lida KanariiD, Anna-Kristin KaufmanniD, James Gonzalo KingiD, Pramod KumbhariD, Sigrun LangeiD, , Henry MarkramiD
Abstract
The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and function, it has been challenging to reconcile information obtained from diverse experimental approaches. To address this challenge, we present a community-driven, full-scale in silico model of the rat CA1 that integrates a broad range of experimental data, from synapse to network, including the reconstruction of its principal afferents, the Schaffer collaterals, and a model of the effects that acetylcholine has on the system. We tested and validated each model component and the final network model, and made input data, assumptions, and strategies explicit and transparent. The unique flexibility of the model allows scientists to address a range of scientific questions. In this article, we describe the methods used to set up simulations that reproduce and extend in vitro and in vivo experiments. Among several applications in the article, we focus on theta rhythm, a prominent hippocampal oscillation associated with various behavioral correlates and use our computer model to reproduce and reconcile experimental findings. Finally, we make data, code and model available through the hippocampushub.eu portal, which also provides an extensive set of analyses of the model and a user-friendly interface to facilitate adoption and usage. This neuroscience community-driven model represents a valuable tool for integrating diverse experimental data and provides a foundation for further research into the complex workings of the hippocampal CA1 region.
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- 39
- FWCI
- 8.48
- Field percentile
- top 1%
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