File:Single-neuron model in cortical context.webm
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[edit]DescriptionSingle-neuron model in cortical context.webm |
English: The presentation by Markus Diesmann, from the Jülich Research Centre, is part of the Pathways to the 2023 IHP thematic project Random Processes in the Brain.
In this seminar, Markus questions how relevant the single-neuron model is for cortical dynamics and function. Given the plethora of single-neuron models available, insight into their differential effects on the network level would give theoreticians guidance on which model to choose for which research question. The purpose of this talk is to outline a small project approaching this question which could be carried out in the framework of the thematic program in a collaboration of several labs. The talk first presents a well-studied full-density network model of the cortical microcircuit as a suitable reference network. The proposal is to replace the original single-neuron model by alternative common single-neuron models and to quantify the impact on the network level. For this purpose the presentation reviews a range of common single-neuron models as candidates and a set of measures like firing rate, irregularity, and the power spectrum. It seems achievable that all relevant neuron models can be formulated in the domain-specific language NESTML and data analysis be carried out in the Elephant framework such that a reproducible digital workflow for the project can be constructed. A minimal scope of the investigation covers a static network in a stationary state. However, there are indications in the literature that the conventional constraints on network activity are weak. Furthermore, hypotheses on the function of the cortical microcircuit depend on the transient interaction between cortical layers, synaptic plasticity, and a separation of dendritic and somatic compartments. Therefore, we need to carefully debate how the scope of an initial exploration can usefully be restricted. |
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Source | https://www.youtube.com/watch?v=ub2KfmmW0kA&feature=youtu.be |
Author | CEPID NeuroMat |
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[edit]This media was produced by NeuroMat and was licensed as Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).
Attribution in English: RIDC NeuroMat Attribution in Portuguese: CEPID NeuroMat |
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current | 22:00, 3 June 2022 | 51 min 49 s, 1,280 × 720 (111.15 MB) | Thaismay (talk | contribs) | Uploaded a work by CEPID NeuroMat from https://www.youtube.com/watch?v=ub2KfmmW0kA&feature=youtu.be with UploadWizard |
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3 June 2022
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116,551,882 byte
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