Jennifer I. Colonell

The paper introduces a high-density Neuropixels 2.0 Quad Base probe with 1536 channels, demonstrating its ability to capture brain-wide neural activity and reveal new insights into motor decision signals and functional subnetworks in mice.

The paper introduces Neuropixels Opto probes that combine high-resolution electrophysiology with optogenetics for spatially addressable neuronal manipulation and recording.

The paper introduces Neuropixels 1.0-NHP, a high-density electrode array for large-scale neural recording in nonhuman primates, enabling recording from over 3000 single neurons.

SLAy automatically merges oversplit spike units in electrophysiology data, improving efficiency and reproducibility compared to manual methods.

The paper records brain-wide neural activity in mice during a memory-guided task, showing distributed coding of choice and action across brain regions.

This paper introduces a neuron tracking method using non-rigid alignment of spike sorted clusters to identify the same neurons across multiple days in high density electrophysiology recordings, achieving an 84% average recovery rate.

This paper develops a low-latency system for assigning single-neuron identities from neural signals, enabling real-time applications in brain-machine interfaces.

This paper introduces NP Ultra, a high-density electrode that improves neuronal recording yield, detection, and cell type classification in mice.

The paper develops a method to rapidly reconstruct neural circuits with single synapse resolution using tissue expansion and lattice light sheet microscopy, validated in Drosophila.

This paper introduces electrode pooling to increase the number of recording sites on silicon probes by using a single wire for multiple sites, demonstrating its feasibility on Neuropixels 1.0 and simulating its effectiveness.

The paper introduces Neuropixels 2.0, a high-density probe for long-term brain recordings, and demonstrates its stability across months in multiple labs and species.

This paper creates high-resolution brain and ventral nerve cord templates for Drosophila using advanced imaging and registration techniques, showing improved accuracy and efficiency compared to existing templates.

The paper creates a comprehensive atlas of the Drosophila larval nervous system using single-cell transcriptomics and validates findings with RNA-FISH, revealing gene expression changes linked to behavioral states.

The paper combines expansion and lattice light sheet microscopy to enable high-speed, nanoscale molecular imaging of neural circuits across large volumes.

The paper introduces a smFISH method for single-mRNA detection in cleared Drosophila brains with subcellular resolution using a custom microscope.