Kristian Lensjø
@klensj.bsky.social
Neuroscientist at the University of Oslo, part-time heavy metalist at Deseized
🚨 Ever wanted a simple way to control the activity of thousands of neurons? We introduce an all-optical raster photostimulation method to do just that! w/ @computingnature.bsky.social @marius10p.bsky.social #FluorescenceFriday #neuroskyence www.biorxiv.org/content/10.6... 1/n
6/ The "brakes on plasticity" framing captured something real, but PNNs may be more informative as features of within-class PV specialization than as general plasticity regulators. Where a cell sits on this axis likely shapes how it participates in circuit dynamics.
5/ PNN-negative PV neurons look different — expressing neuropeptides and GABA-A subunits more typical of Sst interneurons. Similar across-class continua have been described transcriptomically for broad interneuron populations; the PNN gives us a physical handle on one within a class.
4/ PNN-positive PV neurons are the mature fast-spiking specialists: Kv3 channels, Grin2a (mature NMDA), Gabra1 (fast GABA-A), oxidative phosphorylation, gap junctions (Gjd2). The canonical basket-cell phenotype, molecularly.
3/ We combined Xenium spatial transcriptomics with post-hoc WFA staining in adult mouse cortex. 378,349 cells, same-section PNN quantification. To extend beyond our 297-gene panel, we trained a classifier (AUC = 0.87) and projected onto Allen scRNA-seq: 34,326 PV neurons, genome-wide.
1/ 97% of cortical PNNs are on PV interneurons. But PNN-positive and PNN-negative PV cells don't split into two groups — they sit at different ends of a transcriptional continuum of fast-spiking specialization. New preprint 🧵
New paper out with @hafting.bsky.social and @markandermann.bsky.social lab on reactivations and memory consolidation : www.science.org/doi/10.1126/...
Local inhibitory circuits mediate cortical reactivations and memory consolidation
Reducing inhibitory activity after training prevents cortical reactivations and memory consolidation.
science.org
New preprint out in eLife! Neurons in medical entorhinal cortex (MEC) develop responses to visual cues and reward as mice learn a visual Go/NoGo task. elifesciences.org/reviewed-pre...
I’m so excited to share our preprint on how brainstem neurons sense and integrate multiple body signals during food consumption. We imaged 1000s of neurons across the lateral parabrachial nucleus (LPBN) in behaving mice. www.biorxiv.org/content/10.1...
Brainstem sensing of multiple body signals during food consumption
Studies of body-to-brain communication often examine one stimulus or organ at a time, yet the brain must integrate many body signals during behavior. For example, food consumption generates diverse or...
biorxiv.org
In this preprint we see how activity in entorhinal cortex change during learning a non-spatial visual association task. Neurons in the MEC initially exhibited weak responses to visual cues but gradually developed strong tuning toward the rewarded trials. doi.org/10.1101/2024...
Task and Behavior-Related Variables Are Encoded by the Postrhinal and Medial Entorhinal Cortex During Non-Spatial Associative Learning
The medial entorhinal cortex (MEC) is pivotal in spatial computations and episodic memory. In particular, an animal’s position can be decoded from the activity of entorhinal grid cells. However, it re...
doi.org