Srikanth Ramaswamy

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Ever wondered what different layer-5 PC types do for learning?

Our work suggests that one (IT PCs) does representational learning whereas the other (ET PCs) encodes representational value!

A great exp-theory collaboration with the Larkum and Takahashi's labs!

Very cool. Congratulations!

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Please add me, Dan. Thanks!

Targeted stimulation of motor cortex neural ensembles drives learned movements During the execution of learned motor skills, the neural population in the layer 2/3 (L2/3) of the primary motor cortex (M1) expresses a reproducible spatiotemporal activity pattern. It is debated whe...

663 days since the senseless tragedy that took An, we present a manuscript that reports some of the discoveries that she left us.

www.biorxiv.org/content/10.1...

Did you listen to the trailer of our new podcast yet?
Get ready!

Theory of axo-axonic inhibition The axon initial segment of principal cells of the cortex and hippocampus is contacted by GABAergic interneurons called chandelier cells. The anatomy, as well as alterations in neurological diseases s...

My Christmas gift to you fellow neurophysiologists: "Theory of axo-axonic inhibition". www.biorxiv.org/content/10.1...

🙋‍♂️

An integrative data-driven model simulating C. elegans brain, body and environment interactions - Nature Computational Science BAAIWorm is an integrative data-driven model of C. elegans that simulates interactions between the brain, body and environment. The biophysically detailed neuronal model is capable of replicating the ...

An integrative data-driven model simulating C. elegans brain, body and environment interactions

www.nature.com/articles/s43...

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🚀 The leap from postdoc to PI is no small feat.
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YouTube video by ALBA Network ALBA-IBRO Social Diversity Podcast - Season 2 - Trailer

🎙️ Big news: the ALBA Diversity Podcast is back in 2025! Season 2, supported by
@ibroorg.bsky.social, explores the journeys of postdocs and PIs worldwide as they navigate the transition to set up their labs.
🗣️ Hosted by @lonelypipette.bsky.social
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youtu.be/Urj-Csqigw4?...

Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory Human hippocampal CA3 networks use sparse and broad synaptic connectivity, and their recurrent synapses employ reliability, precision, and long integration times to enhance memory capacity. Thus, the human hippocampus is distinct from both rodent counterparts and human neocortical circuits.

Is neuroscience research really working to understand the human brain? Or do we get lost in mouse cognition? I’ve asked myself this a lot since starting to work with human tissue. Our first Jonas Lab foray into untangling human hippocampal circuits is now online! www.cell.com/cell/fulltex... 1/a few

Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing - Nature Communications Ears encode sound with precisely timed spikes, but the perceptual role of this temporal coding remains uncertain. Here, the authors report that high-fidelity temporal coding is necessary for neural ne...

New paper from our lab, by Mark Saddler, using machine learning to test the role of temporal coding in hearing. Here is a quick summary. (1/n)
www.nature.com/articles/s41...

I failed to reproduce my results from a decade ago: petebachant.me/failed-to-re...

I want to start doing these little #reproducibility side quests with other people's work. Anyone have any suggestions?

The terms "learning" and "adaptation" are often used nearly interchangeably, though different fields use them differently

In artificial systems we distinguish btw "training" and "inference" but animals undergoing continual learning blurs that

Is there a principled distinction we can make?

I have done this frequently and agree it is very valuable. Removing the presumed quality imprint of the journal name opens up the discussion dramatically in my experience.

Popping in here intermittently. Hoping to be more frequent and fully defect from the other side. Follow me for Comp Neuro, NeuroAI and enhancing DEI!