Nicely contrary to how I'd thought this worked: disrupting theta-timescale spiking impairs learning but leaves hippocampal replay intact. Suggests replay doesn't need clean theta sequences during behaviour to form. https://doi.org/10.1101/2025.09.15.675587

This is so, so well-articulated.

This paper looks interesting, I look forward to reading it: www.cell.com/neuron/fullt... But, my guess is that there's an interpretation based on *prediction*, rather than "context modulation", that would be more theoretically relevant. #neuroscience 🧪

The impact of bioRxiv in numbers @richardsever.bsky.social

I am looking for a theory/computational POSTDOC position in EU or east coast US. I am interested in how learning and plasticity shape population dynamics & representational geometries & how these changes are reflected in behavior. If you are at #COSYNE2026 & interested, hit me up in Whova, not here

1/7 🧠 My journey into development begins with this work and question: how does the brain's spatial navigation system develop? We found that the neural networks for spatial navigation (tori and rings) are preconfigured and only later anchor gradually to the world with experience! 🧵

I am excited to share my first paper, showing that episodic memory formation is theta rhythmic, is now published in Nature Human Behavior! Check it out here: rdcu.be/e6pzS. Thanks to my PI, Katherine Duncan, and to my collaborators for their support on this journey! Stay tuned for iEEG follow up 🧠

Dendritic arbors provide neuroscience with an ideal opportunity to study how individual neurons interact with their broader circuitry and are the field’s best bet to bridge cellular and systems neuroscience, writes @justinkohare.bsky.social. #neuroskyence www.thetransmitter.org/dendrites/de...

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico? In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony. It turns out these compact models are surprisingly small! rdcu.be/e5H8G

1/6 Do neighboring #PlaceCells in #Hippocampus CA1 map neighboring locations in space? 🧠🗺️ Is there micro-scale spatial topography in the hippocampus? See our latest paper from @kavlintnu now out in @pnas.org www.pnas.org/doi/10.1073/...

Temporal Coding rather than Circuit Wiring allows Hippocampal CA3 Neurons to Dynamically Distinguish Different Cortical Inputs https://www.biorxiv.org/content/10.64898/2026.02.20.707083v1

A half-century old question may have its final answer. Using high-resolution #Mini2P microscopes, we find no evidence of local topography in #PlaceCells. Place fields of neighbouring cells are no more similar than those of randomly selected cells. 🧠🗺️ Out now in @pnas.org www.pnas.org/doi/10.1073/...

New preprint from the lab! Stefan Sun and @q-perrenoud.bsky.social collaborated to look at how sensory experience affects the adult cortex. Using ephys and 2-photon imaging, they found that varied visual experience reorganizes dendrite-targeting inhibitory circuits in V1.

Pavlov would have been shocked and stoked by this study! It meticulously shows that what matters most for cue-reward learning is the duration between rewards: the longer this duration, the fewer the number of trials needed for behavioral and DA learning www.nature.com/articles/s41...

Motor sequence generation _without_ cortico-thalamic loops!

Our latest paper, “Visual language models show widespread visual deficits on neuropsychological tests”, is now out in Nature Machine Intelligence: www.nature.com/articles/s42... Non-paywalled version: arxiv.org/abs/2504.10786 Tweet thread below from first author @genetang.bsky.social...

I'm very excited to finally see this one out in @natneuro.nature.com ! It has been an incredible journey alongside extremely talented people! Thanks to everyone involved and enjoy the reading! 1/n www.nature.com/articles/s41...

We had a lot of fun doing these experiments! Theta sweeps in MEC and internal direction signals in parasubiculum track moving objects during pursuit and reverse during backward movement. Simultaneously recorded HD cells in other areas remain locked to head direction across behaviors:

I agree so long as the computational models make predictions that other models do not, and those predictions are then tested.

"How much of the brain's learned algorithms depend on the fact it is a brain?" arxiv.org/abs/2601.02063 The brain is a neural network, but also a biological organ (unlike artificial neural networks). How much does this matter to cognition?

What's the relation between voltage and calcium in dendrites? Xiang Wu studied this in CA2 hippocampal pyramidal cells in behaving mice. www.biorxiv.org/content/10.6...

New Journal Club explores TARPs as multi-domain regulators that couple synaptic strength to intrinsic excitability—providing a molecular substrate for coordinated adaptation across timescales. open.substack.com/pub/grounded...

"motor cortical engagement is sustained under conditions of sensorimotor uncertainty and dissipates rapidly when sensorimotor contingencies are resolved"

when doing neuroscience projects I often advocate for computational modelling, followed by data analysis to test model's predictions. however a few times now I have had pushback from collaborators/reivewers suggesting it would be better to do the data analysis first, then the modelling. thoughts?

"In contrast to reactivation of rodent place cells, reactivation of human concept cells does not reflect sequences of events in human experience."

"It is essential for the field to systematically explore objectives and data curricula that might cause DNNs to learn more human-like visual representations" hammer -> nail

New preprint from the lab! 🚀 We find that hippocampal OLM interneurons provide a circuit-level inhibitory feedback signal that dynamically controls when and where behavioral timescale synaptic plasticity can occur. Feedback welcome!

Published @cp-trendscognsci.bsky.social with @drewlinsley.bsky.social & @tonyfeng.bsky.social: As vision models scale to human/superhuman accuracy, they’re becoming worse models of primate vision—benchmark engineering isn’t neuroscience. @carneyinstitute.bsky.social @browncopsy.bsky.social

What is the computational role of dendritic excitations? Byung Hun Lee and team mapped voltage dynamics throughout the dendritic trees of CA1 pyramidal neurons in mice navigating in virtual reality. www.biorxiv.org/content/10.6...

Just published my review of neuroscience in 2025, on The Spike. The 10th of these, would you believe? This year we have foundation models, breakthroughs in using light to understand the brain, a gene therapy, and more Enjoy! medium.com/the-spike/20...

You can do this right now: Think of a person who wrote a paper you love, whose work influenced or helped you, or has made your professional life better. Search up their email address. Shoot them a quick email of thanks. It means so, so much. This is a rough time of year, share some joy.

Cortical glutamatergic and GABAergic inputs support learning-driven hippocampal stability | Science www.science.org/doi/10.1126/...

Big new blogpost! My guide to data visualization, which includes a very long table of contents, tons of charts, and more. --> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful. www.scientificdiscovery.dev/p/salonis-gu...

BTSP in visual cortex

I have so many issues with this podcast with @earlkmiller.bsky.social . I think that this podcast nicely shows why I have trouble with such approaches. Lets go through some of the claims.

See our latest - collab with @jess-cardin.bsky.social, led by @andrewmoberly.bsky.social. We combined mesoscopic and 2p imaging to show that learning-dependent plasticity of ACh release in visual cortex drives enhanced visual representations and conditioned behavior. 1/5 tinyurl.com/3cfea6df

Out now: Favila, Capece Marsico et al. 2025, Nature Communications: Using longitudinal deep-brain imaging, we report that amygdala interneurons exhibit complex and heterogeneous plasticity during associative learning, at both the single-cell and population level. 👉 www.nature.com/articles/s41...

Many of our big insights into brain function come from trying to mimic it, writes @timothyoleary.bsky.social. This lesson should guide how we organize research programs. www.thetransmitter.org/systems-neur... #neuroskyence

Now that Affinity is fully free I think there’s a solid opportunity for academia to let go of Inkscape and get serious about designing good figures 💁🏻‍♂️ www.affinity.studio/download

Thrilled that our paper is out today in Nature! www.nature.com/articles/s4...

"Even short, regular check-ins can make a difference. Time spent helping students to solve problems, or simply asking how a project is going, will pay dividends. It also saves time later by catching small problems before they become big ones" nature.com/articles/d41...

#JNeurosci: Kashefi et al. dissociate between the “what” and “how” components of motor sequence learning and provides evidence for the development of motoric sequence representations that guide optimal movement execution. https://doi.org/10.1523/JNEUROSCI.0299-25.2025

Neuromorphic Computing, NeuroAI, Computational Neuroscience www.sciencedirect.com/science/arti...

Travel awards are available for undergraduate students looking to attend #Cosyne25! The application is short, and the deadline is Nov 12. @cosynemeeting.bsky.social Application: shorturl.at/6NEyk More info: www.cosyne.org/travel-grants (1/2)

A rather 'unique' paper from our lab is online in @cp-cellreports.bsky.social now. Unique in the sense that I don't think anyone else will be rushing to optotag cortical interneurons in the early postnatal brain... because it is nigh on impossible! www.sciencedirect.com/science/arti...

Interested in doing a Ph.D. to work on building models of the brain/behavior? Consider applying to graduate schools at CU Anschutz: 1. Neuroscience www.cuanschutz.edu/graduate-pro... 2. Bioengineering engineering.ucdenver.edu/bioengineeri... You could work with several comp neuro PIs, including me.

1/ 🚨 New preprint! 🚨 Excited and proud (& a little nervous 😅) to share our latest work on the importance of #theta-timescale spiking during #locomotion in #learning. If you care about how organisms learn, buckle up. 🧵👇 📄 www.biorxiv.org/content/10.1... 💻 code + data 🔗 below 🤩 #neuroskyence