💻We have added the IPSID code to the PSID Python/Matlab repos:
https://t.co/RhYLFr5veb
For python 🐍, you can run
pip install PSID --upgrade
to install the latest version that includes IPSID.
📒We have also prepared a tutorial notebook for IPSID here:
https://t.co/8gomwBL4hW
📢 We have a new notebook that demoes DPAD (@NatureNeuro 2024) in public neural-behavioral data from start to finish, answers FAQs, & gives best practice tips! Check it out!
🔗 Link is in the repo: https://t.co/FqkKzyqsYs
🙌 Thanks @Vahidi_Parsa & @MaryamShanechi!
Paper 🧵⬇️
Excited that our paper made the cover of @NatureNeuro!
We developed DPAD, an AI framework for dynamical modeling of neural-behavioral data and dissociating behaviorally relevant neural dynamics.
📜https://t.co/Uz71hQX2ZL
💻https://t.co/ghiUGzxs0e
👏@omidsani
🚨 Oh this rare occurrence is happening again!
The expect value of the Powerball prize, per ticket, after tax, is more than the $2 ticket price.
Even very rational people who are curious about lotteries but can't justify the game being rigged against the players can also play.
Are they really this clueless about how rocket development works, or do they hate SpaceX because of Elon? As so often happens, it's hard to distinguish incompetence from politics.
56% net margin is crazy! And we're still far from feeding the market's appetite for server side compute.
VCs are subsidizing the investment now:
VC ➡️ Startup ➡️ Nvidia
In hopes that they will get to:
Customer ➡️ Startup ➡️ Nvidia
And a key winner in both cases is Nvidia!
NVIDIA $NVDA Q2 FY2026 results are in! 🚀
✨ Record Revenue: $46.7B (+56% YoY)
💸 Staggering Net Income: $26.4B (+59% YoY)
The AI engine roars, with Data Center revenue at $41.3B! 🧠 Reinvesting big in R&D ($4.3B, +39%). But watch out for export control risks 🌍.
https://t.co/P9YOxdwnnB
Have you ever had to endlessly scroll & click to load all the papers on a Google Scholar profile? I once made an open source browser extension that fixes this and can also
- export a bibtex of all papers
- export a list of all co-authors
You may like it!🙂
https://t.co/sOq47koOeI
Our latest paper uses a creative dual RNN architecture to dissociate intrinsic vs input dynamics: a predictor RNN extracts latent states while a generator RNN explains how intrinsic dynamics evolve from those.
@Vahidi_Parsa is presenting at #ICLR2025 👏
Check 🧵 for details 👇
BRAID:
✅ Disentangles intrinsic behaviorally relevant neural dynamics from input, neural-specific & behavior-specific dynamics
✅ Captures nonlinearity
It is a multi-stage RNN: each stage consists of a predictor network & a generative network to learn the intrinsic dynamics.
🎉 New in #ICLR2025, we present BRAID for input-driven nonlinear dynamical modeling of neural-behavioral data.
BRAID disentangles the intrinsic dynamics shared between modalities from input dynamics and modality-specific dynamics.
👏@Vahidi_Parsa@omidsani
🧵, Paper & Code ⬇️
Check out our new preprint where we decode goal-directed hand movements from brain-wide intracranial recordings. Find the full preprint here https://t.co/Qxf1zfaX6e. I did move to the where the sky is blue, so please find a brief summary over there!
A lottery has a Billion dollar jackpot again, but surprise... It is still not worth it! 😀
P.S. My account is not hacked. I made @whenlotto; That's why I some times tweet about it. 😅
Can we efficiently learn models of collective dynamics in multimodal discrete-continuous time-series, e.g. spike-LFP?
We develop a new multimodal subspace identification method to do so & enable causal multimodal decoding!
👏@ParimaAhmadi@omidsani
J Neural Eng paper, code,🧵⬇️
Congrats @loganesian! 🎉
Check out our new multimodal preferential learning method, developed & presented by @loganesian@NeurIPSConf!
Like PSID, this method is analytical, so its learning is not iterative or gradient-based.
👇 Code and #NeurIPS2024 poster info in the 🧵
New in @NeurIPSConf, we develop PGLDM, an analytical subspace identification method to jointly model two generalized-linear time-series & dissociate their shared vs private dynamics.
#NeurIPS2024 Poster Sess 5 East #3808, Fri Dec 13 11am
👏@loganesian@omidsani
Paper, Code &🧵⬇️
Excited that our paper made the cover of @NatureNeuro!
We developed DPAD, an AI framework for dynamical modeling of neural-behavioral data and dissociating behaviorally relevant neural dynamics.
📜https://t.co/Uz71hQX2ZL
💻https://t.co/ghiUGzxs0e
👏@omidsani
Google's NotebookLM (https://t.co/7GQon8NAeC) makes surprisingly convincing podcasts! This one was made by just pasting the link to https://t.co/MubFB2AQ5H into NotebookLM! 🤯
Anyone can make a podcast these days!! 🤯
We turned our blog post into a podcast just using Google's NotebookLM (https://t.co/CtMsjgLjSQ) and https://t.co/e06Uf2jckJ! Check it out!
https://t.co/8CxGQxf8Lo