Enhance the Multiscale Object-Oriented Simulation Environment (MOOSE) software package and support outreach and training activities to make computational modeling more globally accessible

Enhance DeepLabCut with generative AI (AmadeusGPT) and expand the DeepLabCut AI Residency program

Develop automated extraction tool to retrieve stored metadata as part of a pipeline to standardize a multi-modal dataset

Develop a software extension to convert marmoset intracellular electrophysiology datasets into a data standard suitable for public access

Develop a software extension to manage data and metadata from deep brain stimulation experiments

Develop a software extension to integrate holographic photostimulation data into a data standard and integrate into two-photon image analysis packages

Develop a data pipeline to characterize neuronal population activity and ensemble properties to understand how sensory stimuli and behaviors are representated across brain regions

Develop an open source software application to facilitate converting data into the Neurodata Without Borders (NWB) format using best practices for data and metadata structures

Create a pipeline to convert single-unit data from working memory tasks into the Neurodata Without Borders (NWB) data standard

Extend an open source software toolbox used for songbird neurophysiology analysis, BirdSong, to support Neurodata Without Borders (NWB)

Establish a data standard for existing brain-computer interface frameworks and datasets

Expand the Neurodata Without Borders (NWB) ecosytem to include the open source 4D neuron tracing software package Dynamo

Create a Neurodata Without Borders (NWB) database to share data for optogenetic perturbation of recurrent cortical connections

Develop an open source computational pipeline for constructing functional neural networks, in collaboration with Yi-Yun Ho (Massachusetts Institute of Technology)

Combine and analyze publicly available data to understand principles that shape neuronal activity across species, and gain insight into population dynamics of complex neuronal circuits

Develop a computational model to uncover the variability of neural circuits across experimental trials, tasks and conditions, and apply this framework to publicly-available datasets

Advance functionality and accessibility of ClearMap software, to analyze large volumetric data from the brain

Develop tools and open standards to create advanced, multiscale models of neuronal cells through the COmputational Modeling in Biology NEtwork (COMBINE) initiative

Develop an open C/C++ API for data acquisition for the Neurodata Without Borders (NWB) data standard