This title appears in the Scientific Report :
2018
Multi-area spiking network models of macaque and human visual cortices
Multi-area spiking network models of macaque and human visual cortices
A problem of prime interest in neuroscience is to understand and unravel the wiring of the brain at the micro-, meso- and macroscale level and its influence on neuronal activity. While cortical network structure has been extensively studied at the level of local circuits and in terms of long-range c...
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Personal Name(s): | Pronold, Jari (Corresponding author) |
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Schmidt, Maximilian / van Meegen, Alexander / Bakker, Rembrandt / Hilgetag, Claus-Christian / Diesmann, Markus / van Albada, Sacha | |
Contributing Institute: |
Computational and Systems Neuroscience; INM-6 Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 |
Imprint: |
2018
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Conference: | NEST Conference 2018, Ås (Norway), 2018-06-25 - 2018-06-26 |
Document Type: |
Poster |
Research Program: |
Human Brain Project Specific Grant Agreement 2 Human Brain Project Specific Grant Agreement 1 The Human Brain Project Theory, modelling and simulation Connectivity and Activity Heterogenität von Zytoarchitektur, Chemoarchitektur und Konnektivität in einem großskaligen Computermodell der menschlichen Großhirnrinde Brain-Scale Simulations |
Publikationsportal JuSER |
A problem of prime interest in neuroscience is to understand and unravel the wiring of the brain at the micro-, meso- and macroscale level and its influence on neuronal activity. While cortical network structure has been extensively studied at the level of local circuits and in terms of long-range connectivity, a spiking network model incorporating different scales, from single cells to global networks, has seldom been investigated. Here we present a multi-scale spiking network model of all vision related areas of macaque cortex [1] using the NEST simulator and outline how we aim to make use of the acquired knowledge to simulate human visual cortex.The connectivity map in our model of the macaque visual cortex integrates data on cortical architecture and axonal tracing data into a consistent multi-scale framework and predicts the connection probability between any two neurons based on their types and locations within areas and layers [1]. Each area is represented as a full-scale 1mm² microcircuit [2] with area specific architecture. Simulations using this connectivity map reveal a stable asynchronous irregular ground state with heterogeneous activity across areas, layers and populations. The network reproduces spiking statistics from electrophysiological recordings and cortico-cortical interaction patterns in fMRI functional connectivity under resting-state conditions when poised in a regime of metastable dynamics [3].The model of human visual cortex will make use of the framework developed for this macaque model, replacing neuron densities, laminar thicknesses, and cortico-cortical activity by estimates for the human brain. A first version will use published data on cortical architecture [4]. In our project, novel detailed characterizations of cortical cytoarchitecture on the level of areas and layers in the human visual cortex will be acquired. We will update our model accordingly as these data become available. Connectivity will be predicted based on these data along with inter-area distances [5]. Human-macaque homologies and DTI data will provide reference values for comparison.These models will help to elucidate how detailed connectivity of cortex shapes its dynamics on multiple scales and how prominent features of cortical activity, such as population-specific spike rates, levels of asynchrony and irregularity, resting-state functional connectivity and intrinsic time-scales, can be explained by population-level connectivity. Furthermore, this work can provide a platform for future studies of cortical functions. |