Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets.
A package to manage electrophysiology analysis.
A web-based, neural probe channel map editor for the Neuropixels probe.
Python-based toolkit to import and analyse Neuropixel probes data that was previously processed using Kilosort 3.0.
Automatic detection of probe position from multiple camera views
Benchmarking large-scale pretraining and across-animal transfer in multi-region Neuropixels recordings from the International Brain Laboratory.
Real-data IBL Neuropixels analysis of decision-related neural population geometry, decoding, and cross-temporal dynamics.
Joint spike localization + motion drift correction for Neuropixels via self-supervised SLN + DREDge alternating optimization.
Lightweight automated pipeline for preprocessing, spike sorting, and synchronizing Neuropixels data.
Falsification lab for a G2/SU(3) ≅ S⁶ conjecture about cortical dynamics. H1-spontaneous refuted 12/12 on Allen Neuropixels.
Curate single-units sorted with more than 80% accuracy (trained and tested against a large-scale biophysical ground truth model of the cortex) from other units, based on spike train and waveform-based quality metrics.
Visual tool for elecrophysiologists to inspect and filter units based on their response to stimulus
Shared/private latent-variable models and connectivity-constrained dynamics for simultaneously recorded neural populations, run on open Allen Institute data. Pre-registered Experiment 3 on D1/D2 striatum.
ZPE-Neuro V0.0: DETERMINISTIC NEURAL SIGNAL CODEC: Extracellular Spikes | Neuropixels | DANDI-Anchored | IBL Validated | Spike Train Transport
Lossless electrophysiology compression with direct SpikeInterface and Kilosort4 readers
Layer-wise CNN encoding of mouse V1 responses (Allen Institute Neuropixels), with an adversarial audit that downgraded the headline claim.
Make systems-neuroscience recordings readable by someone who cannot ask you anything: a generic SpikeGLX/Kilosort + behavior + camera to self-describing NWB builder.
Generation of IMRO files for neuropixels probes based on depth range.
Python functions to convert ecephys recordings and associated behavioural data to Neurodata Without Borders (NWB) file format
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