NWB Conversions
We've collaborated with leading research institutions worldwide to advance neuroscience data standardization and analysis.
Showing 9 of 59 entries
Alexandra Nelson
Developed NWB conversion tools for the Nelson lab's behavioral neuroscience datasets. The conversion pipeline integrates multiple data streams including TDT electrophysiology recordings, Noldus behavioral tracking data, AIM scoring, and behavioral video recordings. The tools support both interactive notebook-based workflows and scriptable conversion processes, enabling efficient standardization of complex behavioral experiments.
Allen Institute
Allen Institute
Developed NWB conversion tools and utilities for the Allen Institute's Neuropixels datasets. The project includes tools for handling simultaneous Neuropixels probe recordings and EEG data, along with cortical electrical stimulation in head-fixed mice. The conversion pipeline supports complex multi-modal experiments investigating brain states and cortico-thalamic interactions across different behavioral conditions.
Andrew Leifer
Developed NWB conversion tools for the Leifer lab's C. elegans neural imaging datasets. The conversion pipeline handles complex whole-brain calcium imaging data combined with optogenetic stimulation, supporting systematic mapping of neural signal propagation across thousands of neuron pairs in the worm nervous system.
Attila Losonczy
Developed NWB conversion tools for the Losonczy lab's two-photon calcium imaging datasets. The conversion pipeline handles data from head-fixed mice running on voluntary treadmills, including raw ROI images, DfOverF traces, fluorescence traces, and behavioral measurements. The tools support molecular identification of interneuron subtypes and integrate position tracking with neural activity data.
Beth Buffalo
Developed NWB conversion tools for the Buffalo lab's multi-modal neurophysiology data, handling both raw and processed neural recordings from Neuralynx systems, sorted spikes, and behavioral measurements in non-human primates doing hippocampal tasks. The conversion pipeline includes a graphical interface for metadata editing and supports various data formats including NCS, MAT, and NEX files.
Bing Brunton
University of Washington
Developed NWB conversion tools for the Brunton lab's human neurobehavioral datasets, including the AJILE12 dataset featuring synchronized intracranial neural recordings and upper body pose trajectories. The conversion pipeline handles complex behavioral data including reach events, position tracking, and long-term naturalistic recordings spanning multiple modalities.
Bob Datta
Developed NWB conversion tools for the Datta lab's behavioral neuroscience datasets, featuring photometric recordings and optogenetic manipulations in mice. The conversion pipeline handles multi-modal data including fiber photometry signals, behavioral measurements, and closed-loop optogenetic stimulation data studying dopamine dynamics during spontaneous behavior.
Bradley Dickerson
Developed NWB conversion tools for the Dickerson lab's research on Drosophila sensory processing. The pipeline standardizes two-photon imaging data from ThorLabs microscopes, neck muscle imaging, and high-speed video recordings. These tools integrate synchronization data from ThorSync to align neural and behavioral measurements, facilitating comprehensive analysis of sensory-motor transformations.
Carlos Brody
Developed NWB conversion tools for the Brody lab's neurophysiology datasets focused on decision-making and neural circuits. The project includes custom processing pipelines and utility code for converting experimental data to the standardized NWB format, with specialized Python-based conversion tools.