Electrophysiological recordings capture the spontaneous and induced activity of dorsal horn neurons and primary afferents in mouse spinal cord preparations. Data were collected using multi-electrode arrays and suction electrodes, with signals stored via Spike2 software and spikes isolated with Kilosort2. The project, led by Ivan Rivera-Arconada, includes complementary histological data to study spinal cord circuit functionality.
Use Cases
- Modeling spontaneous neuronal network dynamics based on recorded electrical activity.
- Analyzing optogenetically induced response patterns in primary afferents and dorsal horn neurons.
- Correlating electrophysiological signals with histological data to study circuit structure-function relationships.
- Benchmarking spike sorting algorithms using data processed with Kilosort2.
Strengths
- Data includes complementary histological information alongside electrophysiological recordings.
- Signals were captured using multi-electrode arrays and suction electrodes, suggesting high-resolution recording.
- Spike sorting was performed with the established Kilosort2 software.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and dataset scale are unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Ivan Rivera-Arconada via e-cienciaDatos Harvested Dataverse
- Collection Method
- In vitro mouse spinal cord preparations, recorded with multi-electrode arrays and suction electrodes, signals stored with Spike2 software.
- Time Range
- null
- Freshness
- Last updated 2025-10-14 21:37:49; freshness should be verified.
- Geography
- null