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Felix Taschbach

@ftaschbach.bsky.social
215 followers 554 following 96 posts

PhD candidate at UCSD Computational Neuroethology

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Felix Taschbach @ftaschbach.bsky.social · 06/10/2026
🇧🇪🇧🇪🇧🇪🇧🇪🇧🇪
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Matt Lovett-Barron @mlovettbarron.bsky.social · 26/09/2026
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...
biorxiv.org
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...
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allen institute @alleninstitute.org · 15/09/2026
Applications are open for the Studio D3 Fellowship at the Allen Institute! This 3-year fellowship gives early-career scientists the freedom to pursue creative, high-impact ideas in biology alongside Institute scientists and Studio D3 Affiliates. 🌟Apply by Dec. 1: bit.ly/4rgbTmD
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allen institute @alleninstitute.org · 15/09/2026
"An exciting opportunity to make fundamental discoveries." The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience. Experience in #neuroscience is not needed. 🌟Apply by Dec. 1: bit.ly/4h762LH
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Takuya Sasatani @takuyasasatani.bsky.social · 14/09/2026
Miniscope Zero, the first fully wireless Miniscope, is on @biorxivpreprint.bsky.social! Wireless power + data enable neural recordings in enclosed mazes, 3D environments & from two animals at once! @miniscope.bsky.social Paper: doi.org/10.64898/202... Wiki: miniscope.org/wiki/Minisco...
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 24/08/2026
Shared Representation Discovery for Multi-Subject Neural Data Analysis www.biorxiv.org/content/10.64898/20…
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Michael Hobbes @michaelhobbes.bsky.social · 19/08/2026
AI makes children better at doing their homework but 20% stupider so it's impossible to say whether it's good or not
Using 30 months of panel data on 26,811 Chinese students in grades 7-12, we study how generative AI affects homework productivity and learning. The data combine monthly closed-book exams, high-school and college entrance exams, and homework scores and completion time across nine subjects. We exploit staggered AI adoption in a difference-in-differences design. AI adoption raises homework scores by 18% and reduces completion time by 30%, but lowers monthly exam scores by 20% within six months. High-stakes entrance-exam scores fall by 18 and 24%, with the full penalty emerging only after about two years. The losses are largest in social science subjects, followed by STEM and languages, and are especially large for junior students, high-achieving students, and boys. The learning losses are concentrated among roughly 80% of AI users whose behavior is consistent with homework outsourcing, as indicated by exceptionally short homework completion time coupled with high homework scores. AI users who maintain similar homework completion time as non-AI users experience small learning losses.
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stefanofusi.bsky.social @stefanofusi.bsky.social · 06/08/2026
Specialized readouts are also possible when most neurons are not specialized, if you have the right representational geometry. Another great work with D. Salzman's lab: led by Pia O'Neill and @lorenzoposani.com, who did a wonderful job
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Felix Taschbach @ftaschbach.bsky.social · 07/08/2026
Potentially no K99/R00 eligibility for international postdocs
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Lorenzo Posani @lorenzoposani.com · 06/08/2026
For a neural circuit to be "specialized", does it need specialized neurons? In our new work - now out in @NatureNeuro - we address this question in the BLA, using representational geometry to propose a new population-centric way of defining circuit specialization. 🧵👇 1/
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arXiv q-bio.NC Neurons and Cognition @qbionc-bot.bsky.social · 03/08/2026
Robert C. Froemke: But What Behavior? arxiv.org/abs/2607.28898 arxiv.org/pdf/2607.28898 arxiv.org/html/2607.28898
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Felix Taschbach @ftaschbach.bsky.social · 27/07/2026
After six years, my time in San Diego is coming to an end. I’m very happy to share that I successfully defended my PhD in Biology at UC San Diego. I’m grateful to my advisor, my committee, collaborators, friends, and family for their mentorship, support, and encouragement throughout these years.
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Sara Reardon @sarareardon.bsky.social · 17/07/2026
Exclusive @science.org: Circadian biologist Satchidananda Panda is resigning from Salk following multiple sexual harassment investigations. Lab members and other employees spoke up after Salk refused to reveal the investigations' findings. #MeTooSTEM www.science.org/content/arti...
science.org
Prominent Salk Institute biologist to resign following sexual misconduct investigation
Staffers complain that Salk allowed circadian rhythms researcher Satchidananda Panda to depart quietly, while the allegations and findings remain under wraps
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stefanofusi.bsky.social @stefanofusi.bsky.social · 15/07/2026
From a great collaboration with @lorenzoposani.com, @shuqiw.bsky.social, Samuel Muscinelli, Liam Paninski, now in Nature: www.nature.com/articles/s41...
nature.com
Rarely categorical, highly separable representations along the cortical hierarchy - Nature
Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.
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Felix Taschbach @ftaschbach.bsky.social · 08/07/2026
just stumbled upon this feed for neuroscience summer schools: bsky.app/profile/did:...
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Sonja Blumenstock @sblumenstock.bsky.social · 01/07/2026
What if part of Huntington's disease wasn't just damage, but a circuit stuck in the wrong pattern? Our new paper, out today in Nature, tests that idea.
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Jeffrey Mervis @policyhound.bsky.social · 22/06/2026
Been wondering why NSF isn't spending most of its FY26 appropriation? A $1.5B tech initiative may be the reason. And big cuts to hundreds of research programs could be just the beginning of the bad news. www.science.org/content/arti...
science.org
Exclusive: NSF slashes research programs to support new tech initiative, insiders say
Unexpected shift in funds has meant sharp drop in grants this fiscal year
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Uma Karmarkar @umakarma.bsky.social · 15/05/2026
Today's a day for *all* the grad school classics: "Although if you get a poisonous snake, it often means that there was a problem with the formatting of your bibliography."
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Berna Devezer @devezer.bsky.social · 30/04/2026
📣 The difference between replicable and not replicable is not itself scientifically replicable. 📣 New work with Erkan Buzbas, showing that verdicts such as "X% of results replicated" are based on an inferential machinery that doesn't work. arxiv.org/abs/2604.26268
Screenshot of a paper's title page. Title: "The Difference Between 'Replicable' and 'Not replicable' is not Itself Scientifically Replicable". Authors: Berna Devezer and Erkan O. Buzbas, both at the University of Idaho — Devezer in the Department of Business and the Institute for Modeling Collaboration and Innovation, Buzbas in the Department of Mathematics and Statistical Science. Authors contributed equally. Corresponding author: bdevezer@uidaho.edu.
Abstract: Replication studies estimate the replicability rate of scientific results by aggregating binary verdicts of experiments. Exact replications are rarely attainable, so most replication sequences are non-exact. Experiments differ in ways that matter and do not share a single common data-generating process. We formalize two statistical interpretations of this non-exactness. In a shared latent rate model (benchmark), experiments are exchangeable and depend on a common random replicability rate. In a conditionally independent rates model (operational), each experiment has its own replicability rate drawn independently from a population distribution. Under the shared latent rate model, even small variability among replicability rates induces an irreducible variance floor on the estimated mean replicability rate that cannot be eliminated by adding more replications. Under the conditionally independent rates model, the degree of non-exactness is not identifiable from standard replication data, because one binary verdict per experiment contains no information about between-experiment heterogeneity. Researchers therefore cannot tell which precision regime they are operating in or whether high- and low-replicability sequences can be distinguished in principle. As a result, the usual data structure of one binary verdict per experiment cannot support reliable demarcation between "replicable" and "not replicable" results and systematically understates uncertainty, making high- and low-replicability sequences appear discrim…
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Felix Taschbach @ftaschbach.bsky.social · 24/03/2026
average altmetric on papers i see these days
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Stories of WiN @storiesofwin.bsky.social · 23/03/2026
We apologize for the delay but our next profile is here! Dr. Ann Kennedy (@antihebbiann.bsky.social) combines theory & biological data to study how internal states shape social behavior by reconfiguring neural circuit dynamics. Follow the link to learn more! www.storiesofwin.org/profiles/202...
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Zebrafish Rock! 🎃 @zebrafishrock.bsky.social · 15/03/2026
Youthful antics predict lifespan? Using machine learning & continuous recordings of #killifish behavior from adolescence until death, @brunetlab.bsky.social & @deisseroth.bsky.social find early-life behavior predicted future lifespan! Now published @science.org: www.science.org/doi/10.1126/... 🧪 1/2
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Richard Gao @rdgao.bsky.social · 12/03/2026
For this year's Neuromatch Computation Neuroscience course, the Curriculum Team is adding a new Day 🥁🥁🥁 Time series analysis and signal processing! We're looking for 5-10 content contributors with relevant neuro+DSP experience for various tasks: co-Day Lead, video, slides, code tutorials, etc.
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Felix Taschbach @ftaschbach.bsky.social · 12/03/2026
CCA has come up so many times during my PhD that I finally wrote it all down. felix.phd/blog/cca/
Schematic representation of Canonical Correlation Analysis on two-dimensional data. Two scatter plots side by side, one in blue and one in red, each with a covariance ellipse and an arrow indicating the CCA-optimal projection direction. Between them, two overlapping density curves show the projected values along each direction, illustrating a canonical correlation of 0.90.
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stefanofusi.bsky.social @stefanofusi.bsky.social · 11/03/2026
The deadline for applying to the Methods in Computational Neuroscience summer course at MBL in Woods Hole is approaching (March 16)! An exciting course with an amazing lineup of lecturers in a beautiful location www.mbl.edu/education/ad...
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Caswell Barry @caswell.bsky.social · 27/02/2026
Nice new preprint from Giocomo and Ganguli — using Gaussian processes to look at grid cell tuning in 4D (position × velocity). Turns out position and velocity coding aren't separable in some cells. Makes you wonder how much we miss by always analysing one variable at a time
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Andrew Straw @andrewstraw.bsky.social · 06/12/2025
Have you ever wondered what you would find if you could keep your eyes on a bee for more than a few meters? Us, too! preprint (with videos!) + thread 🧵 Precise, individualized foraging flights in honey #bees 🐝 revealed by multicopter drone-based tracking www.biorxiv.org/content/10.6... 1/9
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Michael Erard @michaelerard.bsky.social · 09/02/2026
The major European postdoctoral fellowship, the MSCA, had around 17k applications this year—up from 10k last year, thanks to the evisceration of science funding in the US. Only 1610 people received support. This is what brain drain sounds like
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derek guy @dieworkwear.bsky.social · 08/02/2026
Every young person sentence online reads like this to me now: "Bro entered low-stim flow state doing a 10 min grocery rotation and got mogged by a friendly neighborhood cat 💀 Is proximity-maxxing essentials while touch-grass-pilled more optimal than suburb-meta carbrained bulk errands?"
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deanpospisil.bsky.social @deanpospisil.bsky.social · 27/01/2026
New paper out at PNAS: www.pnas.org/doi/10.1073/... Revisiting the high-dimensional geometry of population responses in the visual cortex with @jpillowtime.bsky.social. The review took forever because a reviewer was doubtful our new estimator can infer eigenvalues beyond the rank of the data! (1/6)
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Christian Cazares, Ph.D. @fleabrained.bsky.social · 22/01/2026
happy to send anyone my proposal from last year if they dm/email me!
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derek guy @dieworkwear.bsky.social · 19/01/2026
i wish i could still buy things at the prices i used to complain about
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 15/01/2026
The geometry of context-dependent biased decisions during learning www.biorxiv.org/content/10.64898/20…
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Oscar Woolnough @owoolnough.bsky.social · 13/01/2026
As we head into the new year, a reminder that if you're recruiting or looking for a job in Neuroscience (or adjacent) add #NeuroJobs to your post to appear on the NeuroJobs feed. bsky.app/profile/did:... #NeuroSkyence
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Felix Taschbach @ftaschbach.bsky.social · 13/01/2026
@scienceishard.bsky.social this is like half of our conversations 😅
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Jonathan Pillow @jpillowtime.bsky.social · 17/12/2025
Bichan Wu (@bichanw.bsky.social) & I wrote a tutorial paper on Reduced Rank Regression (RRR) — the statistical method underlying "communication subspaces" from Semedo et al 2019 — aimed at neuroscientists. arxiv.org/abs/2512.12467
arxiv.org
Reduced rank regression for neural communication: a tutorial for neuroscientists
Reduced rank regression (RRR) is a statistical method for finding a low-dimensional linear mapping between a set of high-dimensional inputs and outputs. In recent years, RRR has found numerous applica...
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Natalie Schaworonkow @nschawor.bsky.social · 19/12/2025
📆 updated for 2026! list of summer schools & short courses in the realm of (computational) neuroscience or data analysis of EEG / MEG / LFP: 🔗 docs.google.com/spreadsheets...
docs.google.com
various computational neuroscience / MEEG / LFP short courses and summer schools
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Robert Reich @rbreich.bsky.social · 02/12/2025
Under Trump, the NIH is giving fewer grants to fewer scientists. The grants awarded are smaller and scientists have less time to spend them. Projects in cancer, diabetes, aging, neurological disorder, and more are going unfunded. “Make America Healthy Again.”
nytimes.com
The U.S. Is Funding Fewer Grants in Every Area of Science and Medicine
A quiet policy change means the government is making fewer bets on long-term science.
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megan peters 🧠 @meganakpeters.bsky.social · 02/12/2025
Please help spread the word! All contributions tax deductible!
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Earl K. Miller @earlkmiller.bsky.social · 01/12/2025
Thanks! And check out our new review on mixed selectivity, please and thanks. doi.org/10.1016/j.ne...
doi.org
Redirecting
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The Transmitter @thetransmitter.bsky.social · 01/12/2025
“I will die on the hill that population coding is the relevant level of encoding information in the brain.” In the latest “This paper changed my life,” Nancy Padilla-Coreano discusses a paper on mixed selectivity neurons. #neuroskyence www.thetransmitter.org/this-paper-c...
thetransmitter.org
This paper changed my life: Nancy Padilla-Coreano on learning the value of population coding
The 2013 Nature paper by Mattia Rigotti and his colleagues revealed how mixed selectivity neurons—cells that are not selectively tuned to a stimulus—play a key role in cognition.
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Fanny Cazettes @fannycazettes.bsky.social · 26/11/2025
When @natrevneuro.nature.com asked me to highlight a paper that influenced both my field and my own research, I immediately thought of the work on mixed selectivity by @matrig.net, @stefanofusi.bsky.social, and colleagues. More on this journal club: rdcu.be/eRKLk
rdcu.be
Mixed selectivity: when neurons stopped looking like specialists
Nature Reviews Neuroscience - In this Journal Club, Fanny Cazettes highlights a 2013 paper that demonstrated the importance of mixed selectivity for cortical computations.
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Joao Barbosa @jbarbosa.org · 25/11/2025
Y’all are reading this paper in the wrong way. We love to trash dominant hypothesis, but we need to look for evidence against the manifold hypothesis elsewhere: This elegant work doesn't show neural dynamics are high D, nor that we should stop using PCA It’s quite the opposite! (thread)
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Felix Taschbach @ftaschbach.bsky.social · 22/11/2025
Guess international students can't apply for a postdoc at MIT🙃
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Felix Taschbach @ftaschbach.bsky.social · 13/11/2025
ShaReD had its first outing in this motor learning paper, where we used it to extract shared neural components across animals. For the full method + new communication-subspace results, come to my #SfN2025 poster PSTR253.22 (YY21), Mon 1–5pm.
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caylen @caylen.bsky.social · 13/11/2025
a “Space Force”, if you will
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Mitchell Ostrow @neurostrow.bsky.social · 10/11/2025
Our next paper on comparing dynamical systems (with special interest to artificial and biological neural networks) is out!! Joint work with @annhuang42.bsky.social , as well as @satpreetsingh.bsky.social , @leokoz8.bsky.social , Ila Fiete, and @kanakarajanphd.bsky.social : arxiv.org/pdf/2510.25943
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Zeta Of 1 @zetaof1.bsky.social · 22/10/2025
A meme I created for a presentation I gave today Best wishes to @bengolub.bsky.social and all other Eigenvalue appreciators
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Nidhi Seethapathi @nidhise.bsky.social · 21/10/2025
Excited that this work discovering cross-species signatures of stabilizing foot placement control is now out in PNAS! pnas.org/doi/10.1073/... @antoinecomite.bsky.social
pnas.org
Foot placement control underlies stable locomotion across species | PNAS
Animals navigate their environment stably without inefficient course corrections despite unavoidable errors. In humans, this stability is achieved ...
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