Parima Ahmadipour
@parimaahmadi
Neuroengineer. PhD candidate w/ @MaryamShanechi @USCMingHsiehEE
ID: 1018670963250978816
16-07-2018 01:37:38
28 Tweet
204 Followers
468 Following
Our paper now out in J Neural Eng develops a method that can adapt latent state dynamical models of brain activity in real time and optimize the learning rate for adaptation. Joint first authored by my former student Yuxiao Yang & student @parima69👇1/n iopscience.iop.org/article/10.108…
New paper out in J Neural Eng. We adaptively track human ECoG network dynamics w/adaptive latent state modeling, enabling better prediction & more dim-reduction. 1st-authored by my students @parima69 Yuxiao Yang Collab w/Eddie Chang @ChangLabUCSF 1/n👇 iopscience.iop.org/article/10.108…
I'm presenting RNN PSID @#SfN21. We find strikingly consistent results on nonlinearities in neural-behavioral data across multiple independent datasets (+more). Preprint & SfN video are out, happy to answer Qs on Mon🕝CST. w Bijan Pesaran & Maryam Shanechi biorxiv.org/content/10.110…
Identifying behaviorally relevant dynamics in Poisson population activity is like finding a needle in a haystack. I'll present a dynamical method to do this w/ Omid Sani, Maryam Shanechi at #SfN21: today, Monday Nov 8, poster P538.05, 2:30-3:30 PM CST abstractsonline.com/pp8/#!/10485/p…
To make up for technical issues, #SfN21 has moved our session to Thurs, Nov 11, 2:30-3:30 CST. Looking forward to seeing you at P538.07. w/ Maryam Shanechi Lab
My Neuromatch talk about RNN PSID is now on YouTube. Happy to answer any Qs in the discord channel: discord.com/channels/89571… (link works once u join the server, info is on #nmc4 website) w Bijan Pesaran & Maryam Shanechi 📖Preprint: biorxiv.org/content/10.110… youtu.be/NLmWqg8bKRo
Interested in dynamical systems with multi-scale/modal neural observations and dimensionality reduction? Please check out my recorded poster presentation via the Cosyne conference app (also temporarily available at youtu.be/bpQ8uuYkP6M). #Cosyne22 w/ Maryam Shanechi Lab
Interested in multimodal learning of low dimensional latent dynamics in neural population activity? Mon Nov 14, 4-5 PM, Come to my #SfN22 Poster 390.12 (posterboard #ll12)! w/ Maryam Shanechi Lab
At #EMBC2023? Join our mini-symposium on "Dynamical modeling for neurotechnology applications" to hear from Bolu Ajiboye, @sergeydoestweet, Amy Orsborn, PhD 👩🔬🐵, and Dr. Rose Faghih (linkedin.com/in/rosefaghih/). Tuesday, July 25 from 15-16:30, C4.6.
Our amazing lab members are presenting at #SfN23 Wednesday PM covering: 🧠 💻 Multimodal neural networks, NeuroAI, geometry, intrinsic population dynamics, flexible nonlinear inference, inter-regional dynamics, deep brain stimulation, BCI 🔥 Visit and discuss Society for Neuroscience (SfN)!👇
Confidence is key! 🤔 Using a new EEG task, we show that confidence can be decoded pre-response and demonstrate the feasibility of a confidence-based #BCI for enhanced decision making. 🧠 💻 Congrats to Nitin Sadras & co-authors! J Neural Eng Paper: iopscience.iop.org/article/10.108… 🧵
Happy to share our paper on multimodal learning of low-dimensional latent dynamics, published in J. of Neural Eng.! iopscience.iop.org/article/10.108… 👇 Summary 🧵 Many thanks to my co-authors Maryam Shanechi, Omid Sani, Bijan Pesaran.