NIH R01 · 2025
Project Summary The past decade has seen an unprecedented accumulation of data at the single-cell level giving rise to unique, multimodal sets of gene expression patterns, morphologies, and electrophysiology characteristics. This high- resolution census of neuronal types in the brain constitutes an essential step towards a mechanistic understanding of circuits and brain computations. However, linking cellular identity and activity to circuits and neurophysiological signals remains daunting. The central goal of this proposal is to develop a set of publicly available computational models, tools and resources that allow testing mechanistic hypotheses about the role of different neuronal types…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.