Data from: Directed and acyclic synaptic connectivity in the human layer 2-3 cortical microcircuit
Creators
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Peng, Yangfan1
- Bjelde, Antje1
- Aceituno, Pau V.2
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Mittermaier, Franz X.1
- Planert, Henrike1
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Grosser, Sabine1
- Onken, Julia1
- Faust, Katharina1
- Kalbhenn, Thilo3
- Simon, Matthias3
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Radbruch, Helena1
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Fidzinski, Pawel1
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Schmitz, Dietmar1
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Alle, Henrik1
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Holtkamp, Martin1
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Vida, Imre1
- Grewe, Benjamin F.2
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Geiger, Jörg1
- 1. Charité
- 2. Swiss Federal Institute of Technology in Zurich
- 3. Bielefeld University
Description
The computational capabilities of neuronal networks are fundamentally constrained by their specific connectivity. Previous studies of cortical connectivity have been mostly carried out in rodents; however, whether the principles also apply to the evolutionary expanded human cortex is unclear. Here we studied network properties within the human temporal cortex using samples obtained from brain surgery. We analyzed multi-neuron patch-clamp recordings in layer 2-3 pyramidal neurons and identified substantial differences compared to rodents. Reciprocity showed random distribution, synaptic strength was independent from connection probability and connectivity of the supragranular temporal cortex followed a directed and mostly acyclic graph topology. Application of these principles in neuronal models increased the dimensionality of network dynamics suggesting a critical role for cortical computation.
Notes
Funding provided by: International Human Frontier Science Program Organization
Crossref Funder Registry ID: https://ror.org/02ebx7v45
Award Number: RGY0072/2019
Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: https://ror.org/018mejw64
Award Number: 451242556
Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: https://ror.org/018mejw64
Award Number: EXC-2049-390688087
Funding provided by: Swiss National Science Foundation
Crossref Funder Registry ID: https://ror.org/00yjd3n13
Award Number: CRSII5-173721
Funding provided by: Swiss National Science Foundation
Crossref Funder Registry ID: https://ror.org/00yjd3n13
Award Number: 315230\189251
Funding provided by: ETH Zurich
Crossref Funder Registry ID: https://ror.org/05a28rw58
Award Number: ETH-20 19-01
Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: https://ror.org/018mejw64
Award Number: 424778381
Methods
Multi-neuron patch-clamp recordings of pyramidal neurons and their monosynaptic connections were performed on human cortical tissue (layers 2-3) obtained from epilepsy or tumor resection surgery. The methodological approach was described in a previous technical report: Peng et al., eLife 2019. The cellular and synaptic physiology of this dataset are described in another study: Planert et al., bioRxiv 2023. In this study, we focused on higher-order connectivity analysis, including reciprocity, directionality, and network motifs. We further performed analysis and simulation of recurrent neural networks based on a reservoir computing framework. Details of our analytical approach and network models are described in the supplementary material of this manuscript.
This repository includes the processed data and code to generate the results, simulations, and visualization of the publication. For details, please see the Readme file.
Files
code.zip
Additional details
Related works
- Is cited by
- 10.1101/2021.11.08.467668 (DOI)
- 10.7554/eLife.48178 (DOI)