Eli Shlizerman

Networks Explorer; Fascinated by Data, Dynamical Systems & Neuroscience; AMATH & ECE assoc prof @UW; frmr Research scientist @Facebook; Happy Dad; tweets my own

[Eli Shlizerman @shlizee]

Today at #neurips22 Trung Le is presenting STNDT work at J #638 stand. Definitely stop by to learn more@about spatio temporal transformers for neural data!

[Eli Shlizerman @shlizee]

Today at #neurips22 Trung Le is presenting STNDT work at J #638 stand. Definitely stop by to learn more@about spatio temporal transformers for neural data!

[Eli Shlizerman @shlizee]

Geoff Hinton presents Forward forward networks at #NeurIPS22 plenary. An attempt to substitute back propagation with more biologically plausible learning.

[Eli Shlizerman @shlizee]

Kun Su and Mingfei Chen presenting INRAS at @Neurips now! J 201

[Jacob Robinson @JTRobinsonLab]

Before we all start dissecting the neuralink show and tell tomorrow I wanted to share some of the other neurotech startups that I think are doing cool stuff (besides us at @motifneuro of course!)

It’s a great #neurotechrevolution community!! 🧵

[Eli Shlizerman @shlizee]

Excited to host Yubei Chen from NYU at #UW #NeuroAI workgroup today! Talking about Unsupervised Representation Learning

[Eli Shlizerman @shlizee]

At #NSF #CRCNS PI meeting In Atlanta. My first in person conference since Covid-19. Exciting to see full conference hall!

[Eli Shlizerman @shlizee]

Happening now: Nick is talking today in @a3d3institute Colloquium on with exciting research in brain activity recording and analysis

[Eli Shlizerman @shlizee]

Happening now: Nick is talking today in @a3d3institute Colloquium on with exciting research in brain activity recording and analysis

[A3D3 Institute @a3d3institute]

The next @a3d3institute seminar on Monday, Oct 24 at 12 pm PT is on “Distributed coding of vision, action, and cognition in the mouse brain” by @SteinmetzNeuro. Join this event at https://t.co/GcKaQq0qR9

[Eli Shlizerman @shlizee]

@kvnlxm @TrackingActions @shlizermangrp The clustering model that we use is not new but introduced in papers that I’ve mentioned. I believe they were published before VAME but from first read the latest BioRxiv version of VAME doesn’t include benchmarking against or citation. That’s why I’ve suggested to benchmark.

[Eli Shlizerman @shlizee]

We’re excited to release an alpha ver of #OpenLabCluster(OLC)!👇

OLC is open-source project for classifying behaviors of animals in videos with unsupervised and active deep-learning to minimize the number of labels needed. You’re welcome to give it a try! https://t.co/jGj8IRtAmR

[bioRxiv @biorxivpreprint]

OpenLabCluster: Active Learning Based Clustering and Classification of Animal Behaviors in Videos Based on Automatically Extracted Kinematic Body Keypoints https://t.co/zkw6Kfu9y2 #bioRxiv

[Eli Shlizerman @shlizee]

@kvnlxm @TrackingActions @shlizermangrp There is indeed more work to do to bring the preprint to a journal paper and code to a solid tool. We appreciate the feedback and working on these items!

[Eli Shlizerman @shlizee]

@kvnlxm @TrackingActions @shlizermangrp I’m trying to explain on which model our work is based and conceptual differences. We didn’t try VAME yet since we weren’t aware of it (that’s the reason for no reference :) ). Of course we will be happy to cite it and also to benchmark it.

[Eli Shlizerman @shlizee]

@kvnlxm @TrackingActions @shlizermangrp While clustering by itself is important it is equally important how the classifier interprets the clustering. We benchmarked several encoders- decoders on SOTA human skeleton keypoints and found the above to perform better than VAE or beta-VAE.

[Eli Shlizerman @shlizee]

@kvnlxm @TrackingActions The clustering part is based on @shlizermangrp earlier work: predict & cluster, CVPR 20 https://t.co/3O0xPGqRMS and Encoder-Decoder interpretable analysis https://t.co/WIn6e35pYJ

[Eli Shlizerman @shlizee]

@TrackingActions @kvnlxm Thanks! We are currently working on more baselines comparisons and discussion but wanted to release this alpha version of the project to the public to get feedback! DLC 2+ citation should’ve been there - this is being amended.

[Eli Shlizerman @shlizee]

@kvnlxm Thanks for interest @kvnlxm! We are currently working on performing + publishing baselines comparisons but wanted to release this alpha version of the project to the public to get feedback! We’re also updating citations and discussion with latest.

[A3D3 Institute @a3d3institute]

The next @a3d3institute seminar on Monday, Oct 24 at 12 pm PT is on “Distributed coding of vision, action, and cognition in the mouse brain” by @SteinmetzNeuro. Join this event at https://t.co/GcKaQq0qR9

[bioRxiv @biorxivpreprint]

OpenLabCluster: Active Learning Based Clustering and Classification of Animal Behaviors in Videos Based on Automatically Extracted Kinematic Body Keypoints https://t.co/zkw6Kfu9y2 #bioRxiv