A new machine learning tool distinguishes electrical signatures of individual brain cell types, enabling deeper analysis of how cell interactions contribute to both healthy and disordered brain activity. doi.org/hbx54q

By designing decision-making tasks that vary along multiple dimensions and truly challenge our animals, we might finally understand how multiple brain areas coordinate to drive decisions, writes @chandlab.bsky.social. #neuroskyence www.thetransmitter.org/decision-mak...

Great article and I completely agree. If we want to study the interesting thing about the brain ("intelligence") we need to study it doing hard tasks, not easy ones that can be solved with a single neuron or even none. Yes it makes the analysis harder but that's the challenge.

Josh Siegle and I are thrilled to be chairing the first workshop on "Bridging the gap between cell types and spike trains"! We see this as the key link between population-level descriptions of dynamics and real mechanistic understanding from cell types. celltypestospikesworkshop.github.io/2026/

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...

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