Acknowledgments

This work is supported by the Wellcome Trust with a Wellcome Discretionary Award as part of the Chan Zuckerberg Initiative (CZI), The Kavli Foundation and Wellcome’s Essential Open Source Software for Science (Cycle 6) Program [313306/Z/24/Z]

This project was supported by an Australian Research Data Commons (ARDC) Platform project “Australian Electrophysiology Data Analytics PlaTform (AEDAPT)”.

This work benefits from services and resources provided by the EGI Federation with the dedicated support of CESNET-MCC, Indiana University’s Jetstream2 cloud and Australian Research Data Commons Nectar cloud.

Thank you to AWS for providing cloud credits to support this project since 2024.

We thank Google Cloud for supporting our project from 2024 to 2025 and we thank Oracle for Research for supporting our project from 2022 to 2023.