API Reference#
Look through specific module or search through the entire list of APIs.
All APIs
Object |
Description |
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Base class for OpenNeuro datasets. |
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Motor cortex (M1 and PMd) spiking activity and reaching kinematics from four macaques |
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Curated spiking neural activity datasets from the Neural Latents Benchmark |
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Motor cortex (M1) spiking activity and reaching kinematics from 1 monkey |
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Motor cortex (M1 and PMd) spiking activity and reaching kinematics from 2 monkeys |
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Motor cortex (M1 and S1) spiking activity and reaching kinematics from 2 monkeys |
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Neuropixels recordings from MEC and hippocampus in rats during spatial navigation |
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Shirazi HBN Resting State 1 (HBN-R1) iEEG Dataset (OpenNeuro DS005505). |
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Two-photon calcium imaging of mouse visual cortex from the Allen Brain |
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Neuroprobe 2025 iEEG benchmark dataset. |
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Kochi Visual Naming iEEG Dataset (OpenNeuro DS006914). |
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Klinzing Sleep iEEG Dataset (OpenNeuro DS005555). |
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Sleep-EDF Database Expanded containing 197 whole-night polysomnographic sleep recordings. |
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A container for storing brainset metadata. |
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A container for storing subject related metadata. |
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A container to store experimental session related metadata. |
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A container for storing recording device metadata. |
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Abstract base class for defining processing pipelines. |
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Calculates median sampling rate from an array of timestamps. |
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Extract a |
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Extract spikes and unit metadata from an NWBFile |
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Download a file from DANDI |
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Get a list of all remote NWB assets in the given dandiset |
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Discover all EEG recordings inside a BIDS dataset or list of files. |
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Discover all iEEG recordings inside a BIDS dataset or list of files. |
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Group BIDS-compliant recordings by specified fixed entities. |
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Check if EEG data files corresponding to a BIDS recording_id exist in the BIDS root directory. |
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Check if iEEG data files corresponding to a BIDS recording_id exist in the BIDS root directory. |
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Build a mne_bids.BIDSPath for a given recording_id, modality, and BIDS root directory. |
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Load the JSON sidecar file for a given BIDS file. |
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Load participants.tsv data from a BIDS root directory. |
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Retrieve demographic information (age, sex) for a given subject from a participants DataFrame. |
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Extract the measurement date from MNE Raw recording data. |
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Concatenate a list of MNE Raw objects into one, validating metadata. |
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Extract entire time-series signal from an MNE Raw object. |
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Extract channel metadata from an MNE Raw object, with support for custom channel name, type, and position mappings. |
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Get a cached S3 client configured for anonymous access to public buckets. |
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List all object keys under a prefix (excludes directories). |
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Download all files matching a prefix pattern. |
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Download all files matching an S3 URL prefix pattern. |
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Generates stratified train/valid/test splits using a two-stage splitting process. |
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Generate deterministic per-fold train/valid/test assignments for one ID. |
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str(object=’’) -> str |
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Construct an S3 URL prefix for a recording. |
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Download dataset_description.json from OpenNeuro S3. |
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Download all files matching an S3 prefix pattern for a recording. |
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Fetch the latest snapshot tag for an OpenNeuro dataset. |
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Fetch all filenames for a given OpenNeuro dataset using AWS S3. |
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Fetch and parse participants.tsv from OpenNeuro S3. |
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Fetch species metadata for an OpenNeuro dataset from GraphQL. |
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Abstract base class for OpenNeuro dataset pipelines. |
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<no summary> |
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Object for parsing command line strings into Python objects. |
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Downsample wideband signal to LFP sampling rate. |
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Extract bands from LFP |
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Convert a cube of threshold crossings to a list of trials and units. |
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Convert a datetime object to a string. |
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dict() -> new empty dictionary |