New paper with @deanpospisil.bsky.social , in which we introduce a new estimator for the "signal eigenspectrum" (i.e., the eigenvalues of the noiseless population responses). We re-analyze data from Stringer et al 2019 and show eigenvalues of mouse V1 are well explained by a broken power.
28.01.2026 07:39 β π 32 π 6 π¬ 0 π 1
Thanks, Dean!
04.01.2026 04:31 β π 1 π 0 π¬ 0 π 0
We'd be grateful for any comments about points we overlooked, additional citations, as well as any corrections, clarifications, or suggestions for improvement! π
17.12.2025 02:06 β π 1 π 0 π¬ 0 π 0
We introduce metrics for quantifying the degree of alignment between the communication subspace and the dominant modes of input and output population activity. (e.g., Are the dominant modes of the input population the same ones driving communication?)
17.12.2025 02:06 β π 5 π 0 π¬ 1 π 0
We also derive some useful (known) extensions, such as adding a ridge penalty ("ridge RRR") and non-spherical noise (accounting for correlated response noise), both of which preserve a closed-form solution.
17.12.2025 02:06 β π 1 π 0 π¬ 1 π 0
Part of our motivation was our own difficulty understanding RRR and its mathematical origins (e.g., Why is this an eigenvector problem?). We thought others might benefit from a simple derivation and some figures and comparisons to build intuition.
17.12.2025 02:06 β π 2 π 0 π¬ 1 π 0
Good find, Spencer! π
12.12.2025 04:49 β π 1 π 0 π¬ 0 π 0
Great opportunity to learn to use fancy neural data analysis tools developed at the @flatironinstitute.org. Sign up for this workshop at SFN 2025!
11.09.2025 19:41 β π 10 π 4 π¬ 0 π 0
This is excellent! π
27.08.2025 10:08 β π 0 π 0 π¬ 1 π 0
In fact, Robbins 1956 ("An empirical Bayes approach to statistics") doesn't even consider Gaussian likelihoods. Only Poisson, geometric, binomial. So I'm puzzled about why this is the go-to citation. Are there multiple versions of this paper floating around??
21.05.2025 01:59 β π 1 π 0 π¬ 0 π 0
Diffusion modeling folks: many sources (including Wikipedia) cite Robbins 1956 as the original source for Tweedie's formula (E[z | x] = x + sig^2 \grad log p(x)). But as far as I can tell β the formula appears nowhere in that paper. Did I miss it? Can anyone explain what's going on here?
21.05.2025 01:58 β π 2 π 0 π¬ 1 π 0
Private funder HHMI pauses postdoc fellowship
As HHMI pauses Hanna Gray fellowship applications, opportunities for young scientists shrink further, making them look overseas.
"to run a contest that you end up not funding as a private organization at this time isβ¦ both extremely wasteful of these peopleβs time, and just devastating in terms of morale."
I spoke with @aniloza.bsky.social at STAT today about HHMI's decision not to fund this round of Hanna Gray applicants.
19.05.2025 22:36 β π 195 π 64 π¬ 4 π 6
Mind-boggling that HHMI would pull this right as other sources of funding for early stage investigators are drying up! π’
20.05.2025 01:47 β π 0 π 0 π¬ 0 π 0
Haha, ok thanks! π
10.05.2025 02:17 β π 1 π 0 π¬ 0 π 0
Wow, great βΒ thanks! I didn't know about CB education articles, but that could indeed be a good fit. It is indeed seeking to give technical β albeit (I hope) accessible βΒ details of the derivations!
08.05.2025 22:17 β π 3 π 0 π¬ 0 π 0
Ok, awesome β thanks for this suggestion! I didn't know about this journal before...
08.05.2025 22:15 β π 2 π 0 π¬ 1 π 0
Cool β thanks for the suggestion! Although the web-page here "New Methods", which this paper is not. (Rather it's trying to give a clear, accessible description of an old method). Do you think that could fly?
08.05.2025 22:14 β π 0 π 0 π¬ 1 π 0
Congrats, Takaki βΒ this is super-cool!!
08.05.2025 20:33 β π 2 π 0 π¬ 1 π 0
But there are no new results, per se. Any thoughts or suggestions for where to publish would be most appreciated!
08.05.2025 20:30 β π 1 π 0 π¬ 1 π 0
The RRR estimator dates back to Izenman 1975, but we have found the original stats literature a bit hard to digest. So our paper paper aims to build intuition and give a simple derivation of RRR, along with several extensions (e.g., L2 regularization, non-isotropic noise).
08.05.2025 20:30 β π 3 π 0 π¬ 1 π 0
By way of background: RRR is the method used for estimating a "communication subspace" between brain regions, introduced in Semedo et al 2019, and now growing in popularity for the analysis of multi-region datasets.
08.05.2025 20:29 β π 1 π 0 π¬ 1 π 0
We are writing a tutorial paper on reduced rank regression (RRR), aimed primarily at neuroscientists.
Q: Does anyone have suggestions for where to publish such a paper?
08.05.2025 20:29 β π 17 π 2 π¬ 3 π 0
To stop intimidation, Eisgruber needs your help
When targeting one institution is a bald attempt to divide and conquer, as is the case with Columbia, it is essential for a coalition or group of institutions and individuals to stand up together.&nbs...
"We are passionate about science and its benefits to society, but we fear more what will happen if we do not help defend everyoneβs fundamental rights." Op-ed I co-wrote w/ @samwang.bsky.social @jpillowtime.bsky.social @ilanawitten.bsky.social & David Tank www.dailyprincetonian.com/article/2025...
25.03.2025 19:30 β π 20 π 10 π¬ 3 π 0
Pynapple is a Python-based neural analysis package designed to streamline your research. It integrates seamlessly with your projects, offering tools for processing, analyzing, and visualizing neural data. Follow us for updates, tutorials, and community insights!
#Pynapple #NeuralAnalysis #OpenSource
17.01.2025 20:38 β π 15 π 3 π¬ 0 π 3
"Replacing animals with human-centered tools will provide better insight into human biology, speeding up the development of much-needed treatments for diseases like cancer and Alzheimerβs disease." π€¦ββοΈ
The fact that the author refers to animal research as "animal testing" also reveals a lot.
15.01.2025 22:54 β π 13 π 1 π¬ 2 π 0
Great thread, @jbarbosa.org ! π
11.12.2024 18:19 β π 3 π 0 π¬ 0 π 0
Is population activity more than the sum of its parts? - Nature Neuroscience
A study introduces innovative ways to test whether neural population activity exhibits structure above and beyond that of its basic components.
Another relevant paper here is this beautiful analysis from Elsayed & Cunningham (NN 2017) which describes a new test for rotational dynamics (derived using maximum entropy).
See original paper: www.nature.com/articles/nn....
or Mikio Aoi's & my news & views: www.nature.com/articles/nn....
11.12.2024 18:16 β π 0 π 0 π¬ 0 π 0
Neuroscientist. Building machine learning models to reverse-engineer the brain and human intelligence. Assistant Professor @UofT and Research Scientist @UHN
https://kite-uhn.com/scientist/brokoslaw-laschowski
An annual summer course in computational neuroscience & neuro AI. Boosting African neuroscience by IBRO @ibroorg.bsky.social and the Simons Foundation @simonsfoundation.org. https://imbizo.africa/
Neuroscientist postdoc at UCL
Harris and Carandini lab
Studying cell types and decision making
Biophysics PhD student with Jan Drugowitsch at Harvard Univ. (he/him) | theoretical neuroscience | spatial navigation under uncertainty
Associate Research scientist at Flatiron.
Core developer of @pynapple.bsky.social
Postdoc @rockefelleruniv.bsky.social with the Hudspeth Lab
Astrocytes, auditory processing, two-photon, lightsheet, ephys, machine learning.
Previously PhD @imperialcollegeldn.bsky.social
Antwerpenaar.
Physicist by training, working in computational neuroscience at the @dzne.science. Interested in how neural dynamics and learning shape brain function and behavior, using modeling and data analysis.
πfabriziomusacchio.com
πmastodon.social/@FabMusacchio
(Adi)
Neuroscience PhD student. University of Pittsburgh and Center for the Neural Basis of Cognition
https://adithyanarayan101.github.io/
family guy β’ neuroscientist in Houston interested in touch, the body, and multisensory processing β’ views are mine and not my employerβs β’ he/him β’ proud immigrant β’ mask wearer β’ RTβ endorse #CIDP #autoimmune π
Assistant Professor at Rice University studying attention and working memory. Also likes: speculative fiction, long dog walks, & food adventures. (she/her)
Mathematics & Music Composition Undergrad at Soochow Univ. in Taiwan
Computational Neuroscience RA at Harvard, Oxford & NYU (three separate projects)
I'm interested in imagination, mental simulation and memory retrieval!
https://yangwu15.github.io/
Grad student at Princeton, studying flexible decision making and working memory.
yanar.org
π¦πΊ
Assistant Professor of Psychiatry.
Network neuroscience, NeuroAI, multimodal MRI, precision psychiatry.
parkeslab.com
Retina, Neuroscience, Engineering
Timing in neural systems, Axons and their transmission speed
Prof@Uni Basel / IOB
Mexican Historian & Philosopher of Biology β’ Postdoctoral Fellow at @theramseylab.bsky.social (@clpskuleuven.bsky.socialβ¬) β’ Book Reviews Editor for @jgps.bsky.social β’ https://www.alejandrofabregastejeda.com β’ #PhilSci #HistSTM #philsky β’ Escribo y edito
Postdoc @ Princeton AI Lab
Natural and Artificial Minds
Prev: PhD @ Brown, MIT FutureTech
Website: https://annatsv.github.io/
PhD student at Berens lab @hertie-ai.bsky.social @unituebingen.bsky.social | #ELLIS PhD student & associated w IMPRS-IS | ML for science, NeuroAI | ex: @fz-juelich.de KTH IISERP
4x Founder Β£10M+ ARR π | Scaling ethical, human-centred #HealthTech from Series A+ to global growth | Top 20 UK HealthTech Voice | π€ Media/interviews open
Basal ganglia and visual learning @ NIMH / NEI π§
Professor, Northwestern University
Computational neuroscience | Neural manifolds