Tessera
Folgen

Ana Dorrego Rivas

@adorrego.bsky.social

Postdoc @GrubbLab- Centre for Developmental Neurobiology - King's College London | Unconventional neurons, axons, dendrites, and how they talk to each other! | Wellcome Trust ECA Research fellow | bioRxiv affiliate | 🇪🇸🇫🇷🇬🇧 Barcelona ➡️ Bordeaux ➡️ London

676 Posts1609 Follower2058 Folgt
Florent Waltz@florentwaltz.bsky.social · 6d ago

Huge congratulations to all three Nobel Laureates, and especially Peter Hegemann! 👏 His seminal work on the green alga Chlamydomonas 🦠 laid the foundation for optogenetics. Thank you for putting Chlamy in the spotlight! ✨ Proof that groundbreaking discoveries don't always come from animal models! 🔬

Chlamydomonas cells
Nobel Prize@nobelprize.org · 6d ago

BREAKING NEWS The 2026 Nobel Prize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”

Nobel Prize@nobelprize.org · 6d ago

BREAKING NEWS The 2026 Nobel Prize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”

Bild
Christopher J Stevens@metaphysiology.bsky.social · last wk.

Taking scientific production as an end-in-itself is disastrous in an env where AI can amplify prod. beyond all capacity for social cognitive digestion. If the end of science isn't the improvement of all individual human experience & if the enriching of cognition isn't part of that, what use is it?

Richard Sever@richardsever.bsky.social · last wk.

As AI increases both productivity & ease of creating slop, there's a big challenge for those of us disseminating science. This from @pracheeac.bsky.social is an essential read. [disclaimer: she & I've spent 10+ years a̶r̶g̶u̶i̶n̶g̶ ̶a̶b̶o̶u̶t̶ discussing this stuff] 1/n pracheeac.substack.com/p/arxiv-is-k...

Ana Dorrego Rivas@adorrego.bsky.social · last wk.

I was in Paris yesterday talking about mitral cell development to a very enthusiastic crew as part of the NeuroDev Paris seminars 🧠🇫🇷🧪 The most beautiful cells with the weirdest phenotypes.

Bild
Sophien Kamoun@kamounlab.bsky.social · 2w ago

I just published: How do we recognize world-class science? Not by the journal it appeared in What I told early-career researchers about prediction, rigour, failure, priors — and the tyranny of bar graphs. kamounlab.medium.com/how-do-we-re...

How do we recognize world-class science? Not by the journal it appeared in

What I told early-career researchers about prediction, rigour, failure, priors — and the tyranny of bar graphs.

kamounlab.medium.com

Carl Zimmer@carlzimmer.com · 2w ago

Four days ago, a scientist was surprised by the news that Anthropic discovered new virus genes for making DNA. He says he’s been studying them for years—and feeding his data to Anthropic’s AI as part of his own research. Coincidence? Here’s my story. nyti.ms/3VSWayc

Did Anthropic’s A.I. Really Make a Scientific Discovery on Its Own? (Gift Article)

An expert at the University of Copenhagen said his team had been sharing its research with the company’s A.I. model, Claude, and that its new finding matched their work.

nyti.ms

Matt Lovett-Barron@mlovettbarron.bsky.social · 2w ago

New lab preprint: @grace-padilla.bsky.social studied how zebrafish respond to chemical cues of death and decay. Brief exposure initiated a persistent state, but not through olfaction. Instead, these cues' basic pH was detected by trigeminal neurons and TrpA1 channels www.biorxiv.org/content/10.6...

Decay chemicals activate a pH-sensing pathway to initiate a persistent state

Animals use multiple sensory systems to identify signs of danger, including dead conspecifics. Fish can identify decaying conspecifics from chemosensory cues, which prompt a long-lasting avoidance; th...

biorxiv.org

Christopher J Stevens@metaphysiology.bsky.social · 2w ago

My least effort feminist action of recent years has been to completely train myself out of the common Irish and British habit of using the word c**t to refer to men who are quite plainly horrible cocks. Follow me for more woke ideology.

Tim Vogels@tpvogels.bsky.social · 2w ago

2 tweeprints to go. Good morning! If you've moved already today, you probably asked yourself: how? How did I even get up? Not the hangover. How does your nervous system orchestrate your muscles so well? We've been asking ourselves, too: How can fixed networks produce so many firing patterns?

Tim Vogels@tpvogels.bsky.social · 3w ago

Playing Pong with spikes, dancing rate networks, composite engrams & #ihngrams4engrams. The labs most recent work-in-progress, now on biorxiv.com. Stay tuned for more Pong doi.org/10.64898/202... Dale doi.org/10.64898/202... Composite engrams doi.org/10.64898/202... Ihngrams doi.org/10.64898/202...

Small sub panel of the "Dale" paper's Fig. 1 ,depicting a humanoid dancing with joy. The paper is about how motor cortex can orchestrate a rich and flexible repertoire of network dynamics for rhythmic and goal-directed movements. Computational studies have begun to illuminate the mechanistic origins of this repertoire, but a comprehensive model that can explain the emergence of both transient and self-sustained dynamics is still missing. Condruz et al. show that three simple ingredients: Dalean connectivity, stability, and nonlinear neural responses, suffice to reverse-engineer networks that produce transient, steady-state, and self-sustained periodic activity. A single dynamical principle underlies this repertoire: the interaction of non-normal amplification, inherent to Dalean networks, with neuronal nonlinearity, so to ignite and sustain multi-stable, controllable dynamics. The approach yields entire families of connectivity matrices that require no hand-tuning or learning of weights. Without fitting them to data, these networks reproduce the population-level signatures of motor cortex, implying that the richness of cortical dynamics need not be sculpted by learning, but may emerge from simple biological ingredients. But really, we just feel like dancing with JOY!!
MwahahahahahadScientist@mads100tist.bsky.social · 2w ago

This is it. This is what everyone is enabling by humoring genAI: you spend months writing something that took you years to get at, for an opaque algorithm that a few control to spit a number and cut you off right there and then. This is what we're up against 🧪

John Stott@jpsastro.bsky.social · 2w ago

Had a UKRI funded grant proposal rejected at the "AI triage stage". "This AI-based triage was used only to identify approximately 50% of the strongest proposals to take forward to full human review." 🧪 #academicsky

I am writing to let you know that, unfortunately, your application was not successful. Review process As part of the initial triage of the 179 proposals submitted to this call, each was assessed using an AI-based review. Every proposal was read independently by several different AI models against the same seven criteria used to shape this call (including cyber security relevance, research quality and novelty, importance of the problem addressed, feasibility of the project plan, likely outputs and impact, value for money, and responsible research practice), with each model asked to give a score and a written justification with supporting quotations from the text. To guard against any one model's idiosyncrasies, we also ran a second, independent process in which different AI models debated the merits and weaknesses of each proposal before reaching a judgement, again against the same criteria. Scores from both processes were combined to produce an overall ranking. This AI-based triage was used only to identify approximately 50% of the strongest proposals to take forward to full human review. Projects selected for funding were drawn from those that progressed to the full human review stage. We recognise that AI-assisted assessment is a new and evolving part of the review process, and we are continuing to evaluate how well it aligns with the judgements of human reviewers on this call. We will soon produce a document detailing our method, so that others can build upon it and improve it. Feedback on your application Your application was not selected to progress beyond the AI triage stage. To provide transparency on the outcome of this assessment, we are sharing below the scores (out of 5) from each of the two AI review processes described above, together with the mean score across the two processes.
Centre de Regulació Genòmica (CRG)@crg.eu · 2w ago

Too early to know implications of Anthropic and Claude's discovery on enzymes, says the CRG's Bernardo Rodriguez in @elmundoes.bsky.social. The researchers also says peer review remains fundamental to ensuring the study meets minimum quality standards. www.elmundo.es/salud/2026/0...

Anthropic anuncia que la IA ha descubierto un nuevo sistema de enzimas hasta ahora desconocido y similar al 'corta-pega' genético

La compañía estadounidense Anthropic ha anunciado que su modelo de inteligencia artificial Claude ha descubierto un nuevo sistema enzimático cuyas propiedades recuerdan a las de...

elmundo.es