JustAnSVD

Computational neuroscientist. Interested in computation using analog dynamical systems.

[JustAnSVD @DavidSabatini2]

@TMoldwin You are not the first, but it's still an interesting observation! Can link literature if you want.

[David Clark @d_g_clark]

New preprint: "Linear equivalence of nonlinear recurrent neural networks"
https://t.co/VpNYhbBGzi

[Jeffrey Seely @jeffreyseely]

Sharing a new bite-sized paper:

Predictive coding network == cellular sheaf

We put linear predictive coding networks into the language of sheaf theory, and use cohomology/Hodge decompositions to understand when recurrent PCNs actually learn.

[Jonathan Gorard @getjonwithit]

In some sense, the ubiquity of the Einstein summation convention in mathematics is a testament to the fact that vast swathes of differential and algebraic geometry, functional analysis, analysis of PDEs, etc. can be usefully reformulated in terms of zillions of dot products.

[JustAnSVD @DavidSabatini2]

@KordingLab It's never even been clear to me what knowing how every neuron communicates with each other would buy you...

[JustAnSVD @DavidSabatini2]

@mmbronstein @docmilanfar Funny because this implies being "overwhelmed" with emotions is just that the emotions whelmed a little too hard

[Markus Meister @mameister4]

The unbearable slowness of being: Humans still clock in at just 10 bits/s. Even after peer review :) Share link for Neuron: https://t.co/P4vZlpwZWG, ArXiv: https://t.co/HdzKqnnI3d

[Scott Linderman @scott_linderman]

I'm excited to share our #NeurIPS2024 paper, "Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems" 🧠✨ We introduce the gpSLDS, a new model for interpretable analysis of latent neural dynamics! 🧵 1/10

[Yuki Minai @curi_ms]

I'm excited to share our #NeurIPS2024 paper with
@jsoldadomagrane @SmithLabNeuro @YuLikeNeuro!
We develop a new brain stimulation framework (MiSO) to drive neural population activity toward specified states.
Paper: https://t.co/1VHPSHDu8d
Poster Session 4 East, Dec 12 16:30
[1/n]

[Tarun Kamath @TVKamath]

The first piece of work from my PhD has now been uploaded to biorXiv! Short 🧵below:

[JustAnSVD @DavidSabatini2]

@SebastianSeung @UTokyo_News_en Do you have a pdf on hand of the Associatron paper? Seems to be behind paywalls.

[VarunWadia @WadiaVarun]

1/10 Very excited to announce that my thesis project is now a preprint! We present the first detailed study of mental imagery in human ventral temporal cortex, bringing together the interests of @doristsao and @UeliRutishauser. https://t.co/LBukzKqMOA

[Daniel Kunin @KuninDaniel]

🌟Announcing NeurIPS spotlight paper on the transition from lazy to rich🔦

We reveal through exact gradient flow dynamics how unbalanced initializations promote rapid feature learning

co-led @AllanRaventos

and @ClementineDomi6 @FCHEN_AI @klindt_david @SaxeLab @SuryaGanguli

[Il Memming Park @memming]

How much info in population activity on latents? I'm presenting at @eusipco2024

Jeon, H., & Park, I. M. Quantifying Signal-to-Noise Ratio in Neural Latent Trajectories via Fisher Information. European Signal Processing Conference https://t.co/gvaFJt5z2g

#compneuro #tweeprint

[Yuta Senzai @yutasenzai]

New preprint post! We show that motor commands in the superior colliculus shift the internal representation of heading during REM sleep despite the immobility of sleeping mice. Thus, the brain simulates actions and their consequences during REM sleep.🧵1/7
https://t.co/KS6GX8smYx

[Bill Podlaski @Bill_P_]

🚨 New paper alert!
Have you ever suspected that spikes, Dale's law, and E/I balance might be more than just biological constraints, but rather fundamental to how brains compute? Check out my latest work with Christian Machens @Neuro_CF: https://t.co/5lZ8TlDmIE

🧵 (1/5)

[JustAnSVD @DavidSabatini2]

@neuroprinciples Your use of the SVD has my approval! Seriously though, very cool work.

[Statistics (Machine Learning) Papers @StatsPapers]

A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks. https://t.co/nWGVOdvILp

[JustAnSVD @DavidSabatini2]

@kennethd_harris Thank you! That's exactly the sort of paper I was looking for.

[JustAnSVD @DavidSabatini2]

I'd like suggestions on the best "pure theory" paper you've read. Clearest explained, best written, etc, one caveat is there can be NO data. Just theory

[JustAnSVD @DavidSabatini2]

@HistedLab Is there a related paper?