Spike sorting biases and information loss in a detailed cortical model
DOI:
10.48324/dandi.001250/0.251012.1648
10.48324/dandi.001250/0.251012.1648
ID: 001250
0.251012.1648
0.251012.1648
Contact Laquitaine, Steeve
File Count 98
Size 707.1 GiB
Created October 12, 2025
Last update October 12, 2025
Licenses: spdx:CC-BY-4.0
Access Information: dandi:OpenAccess
Dataset for the publication: "Spike sorting biases and information loss in a detailed cortical model" containing:
- Biophysical simulations of high-density extracellular recordings of an entire cortical microcircuit activity with virtual reconstructions of the Neuropixels 1.0 probe and the Horvath dense probe Spontaneous and stimulus-evoked regime of activity were simulated for the...
Keywords:
spike sorting quality
Neuropixels
biophysical model
neocortex
neural manifold
information geometry
population analysis
Mean- Field Theoretic Manifold Analysis
Wavemap
CEBRA
spike sorting curation
hybrid synthetic model
synthetic model
large-scale extracellular recording
rat
dense electrode arrays
power spectral analysis
machine learning
Subject matter:
Primary Somatosensory Cortex
Funding information
No funding information available.
Related resources
Assets Summary
Approach
electrophysiological approach
Data StandardRRID:SCR_015242
Neurodata Without Borders (NWB)
Number Of Subjects
24
Variable Measured
ElectricalSeries
Units
ElectrodeGroup
Measurement Technique
multi electrode extracellular electrophysiology recording technique
spike sorting technique
surgical technique