Eduardo Maristany de las Casas

@maristanye.bsky.social

Postdoc Letzkus Lab Freiburg Interested in dendrites, flexible learning, neuromodulation etc. 🔬🧠🐭 https://orcid.org/0000-0002-6621-6838

What does synapse position buy a neuron? We trained a dendritic network to place its own synapses on a covariance task. It clustered correlated inputs onto shared branches, and shuffling that placement destroyed performance while every weight stayed intact. Preprint: arxiv.org/abs/2607.24503 🧵-->

Synaptic clustering emerges from learning and supports covariance discrimination

Functional synapse clusters (FSCs) are synapses with correlated presynaptic activity that are colocalized on the same neuronal dendritic branch. FSCs have been observed after learning in cortical and ...

arxiv.org

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Great read by @alexkwan.bsky.social on how fundamental neuroscience research has paved the way for new drug development. I’d also highlight orexin’s role in sleep–wake regulation and the upcoming wave of dual orexin receptor antagonists (DORAs) for sleep disorders (& soon agonists for narcolepsy).

The Transmitter @thetransmitter.bsky.social · 8mo ago

A growing list of medications—such as zuranolone for postpartum depression, suzetrigine for pain, and the gepants class of migraine medicines—exist because of insights from basic research, writes @alexkwan.bsky.social. www.thetransmitter.org/drug-develop... #neuroskyence

Does neural computation feel like something? In our new paper, we explore a paradox: if you replay all the neural activity of a brain—every spike, every synapse—does it recreate conscious experience? 🧠 doi.org/10.3389/fnin...

Frontiers | Does neural computation feel like something?

Artificial neural networks are becoming more advanced and human-like in detail and behavior. The notion that machines mimicking human brain computations migh...

doi.org

New #NeuroAI #compneurosky preprint! To better understand how target-directed learning works in the brain, we sought to engineer an artificial neural network capable of solving complex image classification tasks that comprises only experimentally-supported biological building blocks. (1/15)

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Aaron Milstein@neurosutras.bsky.social · last yr.

Cellular and subcellular specialization enables biology-constrained deep learning www.biorxiv.org/content/10.1...