All NWB conversions

Lisa Giocomo

Stanford University

Project started July 2019

Developed NWB conversion tools for the Giocomo lab's spatial navigation datasets, including tetrode and Neuropixel recordings from medial entorhinal cortex, and two-photon calcium imaging from hippocampal CA1. The conversion pipeline handles multi-modal data including neural recordings, virtual reality behavior, and head motion measurements.

Data and methods
Mouseelectrophysiologycalcium imagingbehavioral trackingspatial navigation
Conversion code
giocomo-lab-to-nwb
Published datasets
Funded under
SCGB NWB Adoption
Related work

Krishna Shenoy

Stanford University

Developed comprehensive NWB conversion tools for the Shenoy lab's diverse motor neuroscience datasets. The conversion pipeline handles multiple experimental paradigms including center-out reaching tasks, Neuropixels recordings in monkeys, and maze navigation tasks. Created analysis and visualization pipelines for examining neural population dynamics during reaching and delay activity in premotor cortex. The tools support both direct streaming from DANDI and local data conversion workflows.

Beth Buffalo

University of Washington

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.

Bob Datta

Harvard University

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.

Carlos Brody

Princeton University

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.