Single-cell dataset of juvenile mouse neurons from the thalamic reticular nucleus: whole-cell patch-clamp electrophysiology

This dataset provides single-cell whole-cell patch-clamp electrophysiology for 19 interneurons of the thalamic reticular nucleus (TRN) in juvenile mice. The recordings were obtained from male C57Bl/6J mice sampled within the developmental window of postnatal days 24 to 34. Acute horizontal brain slices were used, and visually targeted whole-cell recordings were performed in current-clamp mode. A standardized current-clamp stimulus battery was used identically across all cells to characterize their intrinsic electrophysiological properties—passive membrane behavior, action-potential threshold and waveform, suprathreshold firing patterns, and the hyperpolarization-evoked rebound-burst dynamics characteristic of reticular thalamic neurons. The release comprises 18,015 recorded sweeps and their full, un-decimated signal traces (400 million digitized samples), preserved in the community-standard NWB (icephys) format alongside the original Igor Pro source files, and indexed into tidy, queryable Apache Parquet tables—one record per recording session, one per sweep, and one per digitized sample—linked by a normalized recording identifier. Each recording includes animal metadata (postnatal age, body weight, strain, genotype, slice orientation, and recorded region) and its resting membrane potential. The dataset is released as a FAIR² Data Package under the Open Data Commons Attribution License v1.0 (ODC-By v1.0), with machine-readable metadata conforming to the MLCommons Croissant specification, QUDT units, and PROV-O provenance. It is intended for neuroscientists, computational modelers, and machine-learning researchers studying the intrinsic electrophysiology of TRN neurons.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2026-10-29
DOI
https://doi.org/10.3389/fnins.2026.1927631
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell dataset of juvenile mouse neurons from the thalamic reticular nucleus: whole-cell patch-clamp electrophysiology

Rodrigo Perin, Henry Markram, Maurizio Pezzoli
Frontiers in Neuroscience
Neural dynamics and brain function
article

Single-cell dataset of juvenile mouse neurons from the thalamic reticular nucleus: whole-cell patch-clamp electrophysiology

Rodrigo Perin, Henry Markram, Maurizio Pezzoli
article en

Abstract

This dataset provides single-cell whole-cell patch-clamp electrophysiology for 19 interneurons of the thalamic reticular nucleus (TRN) in juvenile mice. The recordings were obtained from male C57Bl/6J mice sampled within the developmental window of postnatal days 24 to 34. Acute horizontal brain slices were used, and visually targeted whole-cell recordings were performed in current-clamp mode. A standardized current-clamp stimulus battery was used identically across all cells to characterize their intrinsic electrophysiological properties—passive membrane behavior, action-potential threshold and waveform, suprathreshold firing patterns, and the hyperpolarization-evoked rebound-burst dynamics characteristic of reticular thalamic neurons. The release comprises 18,015 recorded sweeps and their full, un-decimated signal traces (400 million digitized samples), preserved in the community-standard NWB (icephys) format alongside the original Igor Pro source files, and indexed into tidy, queryable Apache Parquet tables—one record per recording session, one per sweep, and one per digitized sample—linked by a normalized recording identifier. Each recording includes animal metadata (postnatal age, body weight, strain, genotype, slice orientation, and recorded region) and its resting membrane potential. The dataset is released as a FAIR² Data Package under the Open Data Commons Attribution License v1.0 (ODC-By v1.0), with machine-readable metadata conforming to the MLCommons Croissant specification, QUDT units, and PROV-O provenance. It is intended for neuroscientists, computational modelers, and machine-learning researchers studying the intrinsic electrophysiology of TRN neurons.

Frontiers in NeuroscienceVol. 20
École Polytechnique Fédérale de Lausanne (CH)
École Polytechnique Fédérale de Lausanne, Board of the Swiss Federal Institutes of Technology
Openalex Percentile: Top 14%
Neural dynamics and brain function
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