Richard Naud

@neuronaud.bsky.social

just trying to say true and-or kind things

So excited to be part of this one! Now officially out in Annual Review of Neuroscience 🎉 www.annualreviews.org/content/jour...

Ecological Visual Processing in the Mouse

Visual systems evolved to extract behaviorally relevant information while animals move through and interact with their world. Such ecological vision differs fundamentally from standard laboratory paradigms in many key aspects, making this a much harder problem for the brain to solve, and for the neuroscientist to study. However, emerging technologies and experimental approaches have enabled investigation of visual computations under these ecological conditions. These approaches are particularly powerful in the mouse, combining well-developed genetic tools, high-throughput recordings, and quantifiable ethological tasks. Here we review computations that are engaged in ecological contexts, including active sensing, motion processing, scene analysis, distance estimation, and spatial perception. We delineate experimental approaches that engage these computations and synthesize current understanding of their neural implementations based on mouse research. These studies reveal how ecological vision engages distinct processing strategies and novel neural circuitry, while highlighting the vast territory that remains unexplored in understanding real-world visual computation.

annualreviews.org

Spencer LaVere Smith@spencerlaveresmith.bsky.social · 3w ago

Ecological Visual Processing in the Mouse - with @michaelgoard.bsky.social @crisniell.bsky.social @mbeyeler.bsky.social Visual computations that are engaged in ecological contexts: active sensing, motion processing, scene analysis, distance estimation, and spatial perception. doi.org/10.1146/annu...

When reality surpasses fiction! Top: fictional forecast for August 2050, broadcast by French TV in 2014 to warn about the consequences of global warming. Bottom: Real French forecast for yesterday, June 22, 2026.

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Stoked this is finally out! We ask: how can we simulate the brain from the bottom up? It's not sufficient to grab the connectome and wire it up in silico! We need 1) ultrastructure 2) (causal) calibration data 3) functional data. Then we can build a simulation compiler. 1/

Konrad Kording@kordinglab.bsky.social · 4mo ago

Preprint out arguing that we should build the techology to translate (compile) molecularly annotated connectomes into dynamics. I think this is incredibly important. arxiv.org/abs/2603.25713

I’ll be presenting this work (plus some exciting new follow-up analyses!) tonight at poster [1-019], “A unifying theory of receptive field heterogeneity predicts hippocampal spatial tuning.” Come by and say hi! #cosyne26

Zach Cohen@zachcohen1.bsky.social · last yr.

Finally up on bioRxiv! A new study with @jdrugowitsch.bsky.social where we do a deep dive into the coding benefits of receptive field heterogeneity and come up with new ways to measure receptive fields! www.biorxiv.org/content/10.1... [1/n]

"neuro AI reckoning: can we move beyond the metaphor?"https://groundedneuro.substack.com/p/22-years-of-brain-science-what-cosyne?r=6l8iaw&utm_campaign=post&utm_medium=web&triedRedirect=true&_src_ref=go.bsky.app