Directed and acyclic synaptic connectivity in the human layer 2-3 cortical microcircuit

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., 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., , # Data from: Directed and acyclic synaptic connectivity in the human layer 2-3 cortical microcircuit

## Data structure

The `\data` folder contains preprocessed and anonymized data objects and tables from each patient cohort (er = epilepsy resection, tr = tumor resection) at different levels of analysis (cellular, connection, cluster level). These tables have been extracted through an automated pre-processing pipeline that has been described in the primary dataset manuscript (Planert et al., *bioRxiv* 2023: [https://doi.org/10.1101/2021.11.08.467668)](https://doi.org/10.1101/2021.11.08.467668\))

**data_matrix_xx.mat:** This is a MATLAB data structure where each entry corresponds to one recorded cluster of neurons.

* `data.matrix`: Adjacency matrix where rows and columns correspond to pre- and postsynaptic neurons, respectively. 1 indicates a connection, and 0 indicates no connection.
* `data.index`: An index that corresponds to the `data_index` of the different data tables.

**tc...