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Current Sponsors:

Kavli Seed Grant Program

The Kavli Foundation provides seed grants to aid labs in standardizing their experimental data using the NWB data format. Funds are used to support the building and sharing of data or software in the NWB:N ecosystem.

Recent seed grant awardees include:

  • Joshua Berke, University of California, San Francisco (2018)
    • Convert a data set collect from dopamine neurons in the rat ventral tegmental area into the NWB format.
  • Eddie Chang, University of California, San Francisco (2018)
    • Convert an ECoG dataset from a human electrophysiological experiment into the NWB format for sharing.
  • Anne Churchland, Cold Spring Harbor Laboratory (2017)
    • Convert existing data sets from the Churchland lab (imaging and electrophysiology) into NWB format for sharing.
  • Nuo Li, Baylor College of Medicine (2018)
    • Create tutorials for the neuroscience community to demonstrate how to use API functions to convert MATLAB data structures into NWB files, using data taken from premotor cortex during decision-making.
  • Daniel O’Connor, Johns Hopkins University (2018)
    • Convert dataset of recordings from primary afferent neurons that innervate mouse whiskers in behaving animals into NWB format.
  • Ueli Rutishauser, Cerdars-Sinai Medical Center (2018)
    • Convert dataset of >1000 human single neuron recordings collected during a recognition memory task into the NWB format.
  • Bernardo Sabatini, Harvard University (2018)
    • Convert whole-cell electrophysiological data from mouse acute brain slices in response to stimulation and/or after application of peptide and small-molecule neuromodulators into the NWB format.
  • Taufik Valiante, University of Toronto (2019)
    • Convert whole cell patch-clamp electrophysiological recordings from human cortical neurons into the NWB format.
High Performance Computing Project at the Lawerence Berkeley National Laboratory

The Kavli Foundation provided support (2016-2018) to Kristofer Bouchard at the Lawrence Berkeley National Lab for the continued development of the NWB 2.0 data format by creating a modern software architecture and high-performance computing (HPC) enabled data analysis tools utilizing NWB formatted data.

The Berkeley Lab team also included:

NWB:N Community Liason

The Kavli Foundation is providing support (2019-present) to Oliver Rübel at the Lawrence Berkeley National Lab to support community engagement, outreach and software development. This program is currently supporting Benjamin Dichter as a community liason for NWB:N.

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