Somatosensory Cortex Microcircuit for the Mouse
Online use case:
In silico experiments
Data, Models and Tests:
Figure 1: Mouse SSCx column
The neocortex is the part of the brain which endows us with many of our most human-like cognitive abilities, such as language and logical reasoning, but is also the center of sensory perception, motor planning, and adaptive associative processing for all mammals. It is a 2-3mm thick sheet of tissue on the surface of the brain, organized in modules for specific modalities, and densely interconnected by dense information exchange highways, the neocortical white matter axons.
The neocortex has an enigmatic, characteristic and repeating architecture of neuronal types and layers, which is largely preserved across modalities and across species, with minor variations on the theme. Since its anatomical characterization by the prominent Spanish neuroanatomist and Noble laureate Ramon Y Cajal at the end of the 19th century, it has been the subject of intense scientific study. While much is known about neocortical anatomy and physiology, we still lack an understanding of the mechanisms of neocortical function and dysfunction. An integration of current knowledge into simulation of the neocortex would be an important step towards unlocking its mysteries.
What makes the somatosensory cortex special?
The somatosensory cortex is the set of modules of the neocortex responsible for processing sensations of touch. It has an architecture stereotypical of neocortical areas which process sensory information, and the rodent neocortex has become a classical model system due to its experimental accessibility. The anatomy and physiology of rat somatosensory cortex has been extensively studied, and a process for reconstructing and simulating this neocortical microcircuit was recently reported in a landmark study for integrative data-driven neuroscience.
What are the specific questions we want to address in the HBP?
The HBP Brain Simulation Platform has been developed to enable collaborative integration of multiscale neuroscience knowledge into data-driven reconstructions of specific brain regions. Leveraging recently achieved or forthcoming large-scale datasets on whole brain organization of the mouse, we are developing predictive approaches to eventually realize a multi-scale data-driven reconstruction of the mouse neocortex at a cellular resolution. Reconstruction of the mouse SSCx is our first step in this endeavor.
What is our specific take?
A scaffold microcircuit model for the somatosensory cortex of the mouse has been built based on Markram/et. al./ 2015 that lays out a process for reconstructing and simulating a neocortical microcircuit applied to the rat somatosensory cortex. This model combines specific data sets obtained for mouse somatosensory cortex (such as layer height, cell distribution, bouton densities, post-synaptic potential amplitudes), models of neuronal electrophysiology constrained to mouse primary visual cortex data from the Allen Cell Types database, and data sets that were algorithmically transformed from rat to mouse.
As such it represents a proof-of-concept of a cross species data integration strategy. For example rat morphologies were scaled according to the ratio of heights of the mouse and rat circuits to match mouse proportions, and neurite diameters were transformed to match branch order dependencies of mouse V1 data (Allen Cell Types Database).
The microcircuit model features 45891 neurons (7 hypercolumn modules of about 6555 cells each) and about 116 million synapses. The somatosensory cortex microcircuit modeling is proceeding to adhere to the structured phase of the newly defined HBP modeling life cycle. Initial simulations of local-field-potential and the currents associated with it have been made available to HBP partners in the Theory sub-project researching these topics. These simulations can be run online use case Brain Simulation Platform (Neocortex). Interested user may look at the user guide.
The mouse somatosensory microcircuit has been released in the HBP Brain Simulation Platform and is available for in-silico experiments here. Validations and use-cases have been made available as part of a python package at github repository. It is intended as a scaffold model to launch community involvement in its further refinements. In particular, it is well poised to integrate emerging datasets with transcriptomic information, and to leverage the next generation, atlas-based reconstruction pipelines developed at the Blue Brain Project towards scaling up the reconstruction to larger parts of the mouse cortex and its macro-scale connectivity.
Building and simulating the mouse somatosensory microcircuit requires a critical mass of people and expertise. The following people and their teams are currently the main contributors of this this effort:
- Vishal Sood, Blue Brain Project, Ecole Polytechnique Federale de Lausanne, Switzerland
- Hugo Dictus, Blue Brain Project, Ecole Polytechnique Federale de Lausanne, Switzerland
- Javier DeFelipe, Instituto Cajal (CSIC) and Universidad Politecnica de Madrid, Spain
- Alain Destexhe, UNIC-CNRS, Gif-sur-Yvette, France
- Jean-Denis Courcol, Blue Brain Project, Ecole Polytechnique Federale de Lausanne, Switzerland
- Werner Van Geit, Blue Brain Project, Ecole Polytechnique Federale de Lausanne, Switzerland
- Daniel Keller, Blue Brain Project, Ecole Polytechnique Federale de Lausanne, Switzerland
Benefits to the Community
Model Use: If you simply want to use some of the results of our work (e.g take a mouse somatosensory cortex pyramidal neuron for a spin, create your own variant thereof, analyze the network, etc.) you can go to the Brain Simulation Platform, and launch one of the respective use cases.
Participate in community modelling: We would be happy to hear from you. If you would like to get involved and contribute to our community effort, please contract any of us to discuss our common interests. Email email@example.com