Converted behavior and electrophysiology data from multiple projects, including integration with Spyglass as part of a Simons Foundation SFARI ARC project. The first dataset includes behavioral tracking, video recordings, spike sorting, and LFP recordings from experiments studying neural mechanisms of learning and memory. The second dataset focuses on pro-social behaviors in wild-type and Fmr1-/y rat pairs performing cooperative tasks on W mazes to obtain joint rewards, aiming to investigate the neural mechanisms underlying social interaction deficits associated with autism spectrum disorders.

Converting multimodal neuroscience data including extracellular electrophysiology recordings from OpenEphys/Intan systems, behavioral scoring data, video recordings with MoSeq pose estimation, and sensory stimulation data. The conversion pipeline ensures compatibility with Spyglass for advanced analysis capabilities.

Developing NWB conversion tools for the Pagan lab's research on flexible decision-making in SFARI Autism Rat Models. The pipeline standardizes behavioral data from the Bcontrol system, behavioral video recordings, and future electrophysiological data from SpikeGadgets. These tools facilitate data sharing within the lab and publication on the DANDI Archive, while ensuring compatibility with Spyglass pipelines for reliable analysis.

Developing NWB conversion tools for the Olveczky lab's behavioral and electrophysiological datasets studying the neural basis of learned and natural behaviors. The conversion pipeline handles extracellular electrophysiology from flexible probes (256 channels) and Neuropixels including raw data and spike-sorted output, continuous tetrode recordings with raw and snippeted data, multi-camera behavioral video (six cameras), sDANNCE pose estimation, and event and trial-structure data. The pipeline performs time alignment across data streams and accommodates multiple experimental protocols (behavior-only and behavior combined with electrophysiology), with conversions adapted for ingestion into a Spyglass analysis pipeline.

Developing NWB conversion tools for the Uchida lab's behavioral and fiber photometry datasets studying social behavior and observational fear learning. The conversion pipeline handles fiber photometry from Doric hardware (raw and processed MATLAB signals), multi-camera behavioral video (six cameras), DANNCE / social-DANNCE pose estimation, pCampi synchronization data (H5 files with TTL pulses), stimulus and trial event data (e.g., foot shock times), and subject metadata, with Neuropixels electrophysiology (SpikeGLX) including spike-sorted output and trial structure as a stretch goal. The pipeline performs time alignment across data streams and adapts conversions for ingestion into a Spyglass analysis pipeline.

Developed NWB conversion pipelines and analysis workflows for the Dudchenko lab's rodent navigation experiments studying age-dependent alterations in the head-direction signal in Fmr1-/y rats, a model of Fragile X Syndrome, as part of a Simons Foundation SFARI ARC project. The conversion standardized OpenEphys extracellular electrophysiology, spiking units, Bonsai behavioral tracking, sleep-state classification from processed LFP, video, and histology from juvenile and adult rats. The pipeline conformed the data to NWB best practices and made it fully Spyglass compatible, leveraged NeuroConv's backend configuration for state-of-the-art chunking and compression, and published the full dataset to the DANDI Archive along with example notebooks and documentation for the Autism Rat Models Consortium and broader neuroscience community.