Neuropixels Analysis

Overview

Neuropixels probes record extracellular voltage from 384 (NP 1.0) or 192 (NP 2.0) simultaneously recorded channels at 30 kHz. Analysis follows a canonical pipeline: raw data → spike sorting (Kilosort) → quality curation → unit analysis. SpikeInterface (Python) provides a unified API across 10+ spike sorters, handles data loading from multiple formats (SpikeGLX, OpenEphys, NWB), computes quality metrics, and exports sorted results. ProbeInterface manages probe geometry and channel maps. Post-sort analysis (PSTHs, firing rate, decoding) uses standard Python scientific stack.

When to Use

• Spike-sorting Neuropixels recordings from SpikeGLX (.bin) or OpenEphys (.dat) to extract single-unit activity
• Applying automatic quality control metrics (ISI violations, SNR, firing rate) to curate sorted units
• Computing peristimulus time histograms (PSTHs) locked to experimental events
• Analyzing population coding: decoding stimulus or behavioral variables from firing rates
• Converting sorted data to NWB (Neurodata Without Borders) format for sharing
• Comparing multiple spike sorters on the same dataset for method validation
• Visualizing unit waveforms, auto-correlograms, and spatial distribution across probe channels
• Use SpikeInterface instead for a unified framework that supports 10+ spike sorters with a common API and comparison tools

Prerequisites