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Srikanth Ramaswamy

@srikipedia.bsky.social

Assistant Professor at the University of Newcastle | Fulbright Scholar | MSCA Fellow | Lister Institute Prize Fellow | BoD of the ALBA Network | Chair of IBRO ECC | OIST TSVP Scholar | Cosyne DEIA | Passionate about Comp Neuro, NeuroAI and enhancing DEI.

7 Posts281 Follower171 Folgt
Takaki Komiyama @takakikomiyama.bsky.social · 2y ago

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...

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...

biorxiv.org

Surojit Sural@surojitsural.bsky.social · 2y ago

An integrative data-driven model simulating C. elegans brain, body and environment interactions www.nature.com/articles/s43...

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 ...

nature.com

Jake Watson@jakefwatson.bsky.social · 2y ago

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

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.

cell.com

Josh McDermott@joshhmcdermott.bsky.social · 2y ago

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...

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...

nature.com

Tony Zador@tonyzador.bsky.social · 2y ago

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?