Wiki source code of Mesocircuit
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7.2 | 5 | = **The cortical mesocircuit model** = |
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7 | A layered network model covering 4x4 mm² of cortical surface area | ||
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17 | = Overview = | ||
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7.2 | 19 | The cortical mesocircuit model is a lateral extension of the microcircuit model published by [[Potjans & Diesmann (2014)>>https://doi.org/10.1093/cercor/bhs358]]. |
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7.2 | 21 | [[image:mesocircuit_sketch.png||height="277" width="340"]] |
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26 | {{box title="**Contents**"}} | ||
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33 | Like the microcircuit, the mesocircuit represents four layers of cortex, L2/3, L4, L5, and L6, each consisting of a population of excitatory neurons and a population of inhibitory neurons. External input can be provided by a thalamic population TC. | ||
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35 | The mesocircuit is a spatially structured network model covering 4x4 mm² of cortical surface area which is similar in size to multi-electrode arrays in use today. | ||
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37 | The neurons of each population are assigned random positions in 2-dimensional layers and they are connected with distance-dependent connection probabilities and conduction delays. | ||
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39 | The densities of neurons and local synapses in the network are assumed to be realistic, amounting to ~~1.2 million neurons and ~~5.5 billion synapses. | ||
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41 | The model accounts for both spiking activity simulated with [[NEST>>https://www.nest-simulator.org]] and local-field potentials relying on [[LFPy>>https://LFPy.rtfd.io]]. | ||
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44 | = Status of model development = | ||
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46 | The mesocircuit is still under development and the neither the code nor a peer-reviewed manuscript have been published, yet. | ||
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48 | To date, only a [[preprint>>https://arxiv.org/abs/1805.10235]] with detailed model documentation and preliminary results is available on ArXiv. | ||
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50 | The Drive of this Collab provides access to a [[recent version of the model implementation>>https://wiki.ebrains.eu/bin/view/Collabs/mesocircuit/Drive]]. | ||
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52 | The development of the mesocircuit model belongs to task "T4.2.1 - Spiking mesoscale cortical models with spatial organization" and constitutes the [[component C2418>>https://plus.humanbrainproject.eu/components/2418]]. | ||
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