SFARI ARC Spyglass
A collaborative project funded by the Simons Foundation Autism Research Initiative (SFARI) to integrate neuroscience data into standardized NWB format and Spyglass database systems. The project focuses on converting complex behavioral and electrophysiology datasets from multiple experiments, enabling better data sharing and analysis across the neuroscience community. This work includes developing robust conversion pipelines that ensure compatibility with both NWB standards and Spyglass analysis frameworks.
Affiliated NWB Conversions
Shantanu Jadhav
Brandeis University
2024-10
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.
Peter Kind
University of Edinburgh
2025-01
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.
Marino Pagan
University of Edinburgh
2025
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.
Paul Dudchenko
University of Stirling
2026-01
Adapting NWB conversion pipelines and analysis workflows for rodent navigation experiments studying head-direction signal alterations in Fmr1-/y rats as part of a Simons Foundation SFARI ARC project with the Dudchenko Lab. The dataset includes electrophysiology, spiking units, behavioral tracking, and experimental metadata from juvenile and adult rats investigating neural mechanisms underlying spatial navigation deficits associated with Fragile X Syndrome and autism spectrum disorder. The work updates Python conversion scripts to conform to Spyglass standards, NWB best practices, and DANDI Archive requirements. These tools enable seamless integration with the Spyglass framework and DANDI ecosystem across the Autism Rat Models Consortium and broader neuroscience community.