All NWB conversions

Dan Feldman

University of California, Berkeley

Project started March 2021

Developed NWB conversion tools for the Feldman lab's neurophysiology datasets studying sensory processing in the somatosensory system. The conversion pipeline handles complex data structures from electrophysiological recordings and behavioral measurements, with specialized interfaces for processing neural activity during sensory stimulation tasks.

Data and methods
Ratelectrophysiologybehavioral tracking
Conversion code
feldman-lab-to-nwb
Related work

Hillel Adesnik

University of California, Berkeley

Developed NWB conversion tools for the Adesnik lab's MouseV1 project, handling complex multi-modal data including two-photon calcium imaging, holographic stimulation, and visual stimulus data. The conversion pipeline integrates sophisticated experimental protocols including retinotopy mapping, orientation tuning, and targeted stimulation of neuronal ensembles in primary visual cortex.

Yang Dan

University of California, Berkeley

Developed NWB conversion tools for the Dan lab's sleep-wake project. The pipeline standardizes multiple data streams including EEG, EMG, fiber photometry, optogenetic stimulation data, behavioral videos, and DeepLabCut pose estimation. These tools enable comprehensive analysis of brain activity during sleep and wakefulness, facilitating data sharing through the DANDI Archive with example visualization notebooks for exploring the data relationships across modalities. This project culminated in two Dandisets: The first (#001617) focuses on the neural dynamics of sleep-wake regulation, as recorded by EEG, EMG, and fiber photometry, and probed by optogenetic stimulation. The second (#001711) centers on behavioral outcomes as captured by video and pose estimation data, alongside EEG and EMG recordings.