Reconstruction and Simulation of Neocortical Microcircuitry

Graham, Joe?W.; Gevaert, Michael?Emiel; Berger, Thomas?K.; Kahou, Guy?Antoine?Atenekeng; Sanchez, Carlos?Aguado; Reimann, Michael?W.; Markram, Henry; Muller, Eilif; Ramaswamy, Srikanth; Reimann, Michael W.; Abdellah, Marwan; Sanchez, Carlos Aguado; Ailamaki, Anastasia; Alonso-Nanclares, Lidia; Antille, Nicolas; Arsever, Selim; Kahou, Guy Antoine Atenekeng; Berger, Thomas K.; Bilgili, Ahmet; Buncic, Nenad; Chalimourda, Athanassia; Chindemi, Giuseppe; Courcol, Jean-Denis; Delalondre, Fabien; Delattre, Vincent; Druckmann, Shaul; Dumusc, Raphael; Dynes, James; Eilemann, Stefan; Gal, Eyal; Gevaert, Michael Emiel; Ghobril, Jean-Pierre; Gidon, Albert; Graham, Joe W.; Gupta, Anirudh; Haenel, Valentin; Hay, Etay; Heinis, Thomas; Hernando, Juan B.; Hines, Michael; Kanari, Lida; Keller, Daniel; Kenyon, John; Khazen, Georges; Kim, Yihwa; King, James G.; Kisvarday, Zoltan; Kumbhar, Pramod; Lasserre, S?bastien; Le B?, Jean-Vincent; Magalh?es, Bruno R.C.; Merch?n-P?rez, Angel; Meystre, Julie; Morrice...

Abstract

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm3 containing ∼31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ∼8 million connections with ∼37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.

Citation

Graham, J., Gevaert, M., Berger, T., Kahou, G., Sanchez, C., Reimann, M., …Schürmann, F. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell, 163(2), 456-492. https://doi.org/10.1016/j.cell.2015.09.029

• Journal Article Type: Article
• Acceptance Date: Sep 11, 2015
• Online Publication Date: Oct 8, 2015
• Publication Date: 2015-10
• Deposit Date: May 11, 2017
• Journal: Cell
• Print ISSN: 0092-8674
• Electronic ISSN: 1097-4172
• Publisher: Cell Press
• Peer Reviewed: Peer Reviewed
• Volume: 163
• Issue: 2
• Pages: 456-492
• DOI: https://doi.org/10.1016/j.cell.2015.09.029
• Keywords: General Biochemistry, Genetics and Molecular Biology
• Public URL: https://nottingham-repository.worktribe.com/output/764177
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S0092867415011915
• Additional Information: This article is maintained by: Elsevier; Article Title: Reconstruction and Simulation of Neocortical Microcircuitry; Journal Title: Cell; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cell.2015.09.029; Content Type: article; Copyright: Copyright © 2015 Elsevier Inc. All rights reserved.
• Contract Date: May 11, 2017