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💻We have added the IPSID code to the PSID Python/Matlab repos:
github.com/ShanechiLab/PyPSI…
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:
github.dev/ShanechiLab/PyPSI…
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Omid Sani retweeted
#Powerball
⏲️ Next draw: Dec. 24, 2025, 7:59 p.m. PT (11 hours from now)
💰 Jackpot: $1.7 billion
💵 Cash value: $781.3 million
🎫 Ticket: $2
💵 Expected prize cash value
Before tax: $2.82 ⇨ $2.14 (ROI: 7%)
✅ Could be worth it
Source: whenlotto.com
📢 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: github.com/ShanechiLab/DPAD
🙌 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.
📜nature.com/articles/s41593-0…
💻github.com/ShanechiLab/DPAD
👏@omidsani
Omid Sani retweeted
#Powerball
⏲️ Next draw: Sept. 6, 2025, 7:59 p.m. PT (10 hours from now)
💰 Jackpot: $1.8 billion
💵 Cash value: $826.4 million
🎫 Ticket: $2
💵 Expected prize cash value
Before tax: $2.98 ⇨ $2.26 (ROI: 13%)
✅ Could be worth it
Source: whenlotto.com
🚨 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.
#Powerball
⏲️ Next draw: Sept. 6, 2025, 7:59 p.m. PT (2 days, 17 hours from now)
💰 Jackpot: $1.7 billion
💵 Cash value: $770.3 million
🎫 Ticket: $2
💵 Expected prize cash value
Before tax: $2.78 ⇨ $2.11 (ROI: 6%)
✅ Could be worth it
Source: whenlotto.com
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You can subscribe to my thing to get notified every time it happens:
whenlotto.com
And follow its twitter account:
@whenlotto
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Omid Sani retweeted
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 🌍.
earningsanatomy.com/blogs/nv…
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Updated ScholarEnhancer to Manifest 3, so it works in Chrome again!
scholarenhancer.github.io/
chromewebstore.google.com/de…
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!🙂
scholarenhancer.github.io
ALT Screenshot of a Google Scholar profile with the additional top toolbar that is added by the Scholar Enhancer browser extension. The example profile used in the screenshot is that of the physicist Stephen Hawking.
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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 👇
Omid Sani retweeted
Excited for BRAID to expand our neural-behavioral models: PSID & DPAD (Nat Neuro 2021 & 2024), IPSID (PNAS 2024)!
See @Vahidi_Parsa at #ICLR2025
📍Poster Session 5, Hall 3+Hall 2B #57 | Sat Apr 26 | 10AM - 12:30PM @iclr_conf
📜openreview.net/forum?id=3usd…
💻github.com/ShanechiLab/BRAID
Omid Sani retweeted
🎉 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 ⬇️
Omid Sani retweeted
Check out our new preprint where we decode goal-directed hand movements from brain-wide intracranial recordings. Find the full preprint here biorxiv.org/content/10.1101/…. I did move to the where the sky is blue, so please find a brief summary over there!
Omid Sani retweeted
#MegaMillions
⏲️ Next draw: Dec. 27, 2024, 8 p.m. PT (2 days, 10 hours from now)
💰 Jackpot: $1.15 billion
💵 Cash value: $516.1 million
🎫 Ticket: $2
💵 Expected prize cash value
Before tax: $1.82 ⇨ $1.38 (ROI: -31%)
❌ Still NOT worth it
Source: whenlotto.com
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. 😅
#MegaMillions
⏲️ Next draw: Dec. 24, 2024, 8 p.m. PT (1 day, 10 hours from now)
💰 Jackpot: $970.0 million
💵 Cash value: $439.9 million
🎫 Ticket: $2
💵 Expected prize cash value
Before tax: $1.57 ⇨ $1.19 (ROI: -41%)
❌ Still NOT worth it
Source: whenlotto.com
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Omid Sani retweeted
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 &🧵⬇️
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Omid Sani retweeted
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.
📜nature.com/articles/s41593-0…
💻github.com/ShanechiLab/DPAD
👏@omidsani
Google's NotebookLM (notebooklm.google.com/) makes surprisingly convincing podcasts! This one was made by just pasting the link to whenlotto.com/about into NotebookLM! 🤯
Anyone can make a podcast these days!! 🤯
We turned our blog post into a podcast just using Google's NotebookLM (notebooklm.google.com) and veed.io! Check it out!
youtu.be/cuz7hqRZi4U
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