Mouse Hippocampal Sharp-Wave Ripple Dataset Curated From Public Neuropixels Datasets
Bibliographic record
Abstract
The Allen Brain Institute (ABI) and the International Brain Laboratory (IBL) have produced large high quality open behavioural and electrophysiological datasets collected from behaving mice using neuropixels probes. Shared data from these projects are in the form of spike times, raw video footage, scored behaviour, but also local field potentials (LFP). These probes often pass through hippocampus while simultaneously recording from a number of other regions, providing the opportunity to evaluate how hippocampal LFP features during synchronized high-frequency bursts known as sharp-wave ripples (SWRs) impact behavioural task variables or spiking activity on other recorded contacts. Currently, there are no data standards or file formats for sharing SWRs. Here we present the SWR data from the ABI and IBL datasets in a sharable format, which integrates with their APIs. We have extracted, curated using field standards, and shared over 967,431 SWR events from 210 mice from these datasets as well as the code used to process them.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".