Retinal Ganglion Cell Population Spiking Patterns from Multielectrode Recordings

Featuring recordings from approximately 150 retinal ganglion cells, the retina's output, used to investigate population coding. It supports a statistical model that decomposes population responses into collective modes, predicting spiking activity distribution with high accuracy. The data was collected by Adrianna R. Loback and published in 2020.

Use Cases

• Analyze collective spiking patterns across approximately 150 retinal ganglion cells to identify population codewords.
• Train statistical models to decompose population responses into modes that predict spiking activity distribution.
• Investigate the relationship between elicited population modes and repeated visual stimuli for error-robust coding.
• Cluster activity states from multielectrode array recordings to discriminate between distinct population signaling modes.

Strengths

• Data originates from recordings of approximately 150 retinal ganglion cells, providing population-level neural signals.
• The associated statistical model predicts the distribution of spiking activity in the ganglion cell population with high accuracy.
• Released under a permissive CC0 1.0 license, allowing for broad reuse and analysis.

Limitations

• The specific number of rows, columns, file formats, and data size are unknown, limiting assessment of dataset scale and structure.
• Data is from a specific experimental setup (retinal recordings) and may not generalize to other neural systems or stimuli.
• The dataset was last updated in June 2020 and may not reflect the most recent methodologies in the field.

Provenance

Source

Dryad digital repository.

Collection Method

Recordings from retinal ganglion cells using multielectrode arrays under controlled visual stimulation.

Freshness

Last updated on 2020-06-24.