Neuronal Network Activity Data from Engineered Rat Cortical Neurons

Experimental data from engineered rat cortical neurons used to study the role of modular topology in gating neural activity. The research demonstrates how connected modules support conditional propagation, long delays, and propagation asymmetry, with findings validated by blocking inhibition. The dataset was authored by Mark Shein-Idelson and last updated in June 2020.

Use Cases

• Analyze conditional propagation patterns between connected neuronal modules to understand burst transmission probability.
• Model the effects of disinhibition on activity diversity and transmission consistency in modular networks.
• Study propagation asymmetry and long delays in engineered neuronal networks with controlled modular topology.

Strengths

• Data originates from a controlled biological model using engineered rat cortical neurons.
• Research findings on modularity and disinhibition are validated both experimentally and via modeling.
• Dataset is openly available under the CC0 1.0 license.

Limitations

• Specific data structure, column details, and sample size are not provided in the input.
• The dataset's last update was in 2020, which may limit relevance for recent methodological advances.
• The experimental model uses engineered rat neurons, which may not fully capture the complexity of in vivo human neural networks.

Provenance

Source

dryad

Collection Method

Experimental data from engineered rat cortical neurons, analyzed both experimentally and via modeling.

Freshness

Last updated on 2020-06-24.