Neuronal Network Burst Data from Multielectrode Array Recordings

A collection of high-resolution multielectrode array recordings and computational network models investigating the initiation of network bursts in spontaneously active neuronal cultures. The data was generated by Davide Lonardoni and published in 2020 to analyze functional neuronal communities and recurrent local connections that drive coordinated spiking activity. It includes analysis of AMPA, NMDA, and GABA currents in shaping network burst dynamics.

Use Cases

• Identify functional neuronal communities by analyzing cross-correlation peak values and sub-millisecond lags between neuronal links.
• Model the initiation of network bursts using computational network models that incorporate distance-based connectivity constraints.
• Analyze the roles of AMPA, NMDA, and GABA currents in shaping the dynamics of coordinated spontaneous spiking activity events.
• Investigate structural connectivity motifs that provide recurrent interactions within specialized network regions.

Strengths

• Data is derived from high-resolution multielectrode array recordings, enabling cellular-level investigation.
• Includes computational network models to test hypotheses about network burst generation mechanisms.
• Published under a CC0 1.0 public domain license, allowing for unrestricted reuse and analysis.

Limitations

• Specific data dimensions such as row count, column count, and file size are not provided, complicating assessment of scale.
• The dataset is focused on in vitro neuronal cultures, which may not fully capture the complexity of in vivo brain circuit activity.
• Data was last updated in June 2020, potentially lacking more recent methodological advances or findings.

Provenance

Source

Dryad digital repository, authored by Davide Lonardoni.

Collection Method

High-resolution multielectrode array recordings from neuronal cultures combined with computational network modeling.

Freshness

Last updated on 2020-06-24.