Nicole Carr

Thank you Shude Zhu, Xiaomo Chen, @kenjilee, Alec Perliss, Tirin Moore, and Chandramouli Chandrasekaran for your efforts!

We used the increased neuron yield to perform cross-correlational analyses between pairs of neurons in the candidate cell types, and found narrow spiking clusters leading broad spiking clusters.

The spacing between electrodes on high density electophysiology probes is small enough to capture the same neuron on multiple channels. This may provide morphological insights such as the direction of a neuron’s waveform propagation (in this example, upwards towards the pia).

We found that the candidate cell types showed distinct laminar organization, and may map onto known cell types in V1. For example, the highlighted subpopulation is a highly direction selective, large amplitude group of narrow spiking units, located in layer 4a/4b, and are likely projecting to MT!

We used an unsupervised clustering method (WaveMAP) that groups the normalized extracellular action potential waveforms by their shape resulting in 9 candidate cell types.

We leveraged high density electrophysiology in the primary visual cortex (V1) of monkeys to gain detailed access to the laminar organization of candidate cell types, and their contributions to visual function.

So happy to announce my first published paper: Neuropixels reveal laminar microcircuit organization in monkey V1 in vivo
www.pnas.org/doi/epdf/10....

From Chand: “of potential interest”. Our lab’s first dataset! Tian and friends used Neuropixels to record from 7,500 units across DLPFC and PMd to show how contextual decision making (specifically, XOR computation) occurs and how this differs by location in DLPFC and between areas.

Excited to share our new findings: distinct neural dynamics in prefrontal and premotor cortex during flexible decision making, preprinted on biorxiv.

www.biorxiv.org/content/10.6...