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Excited to share what
@jpillowtime@scott_linderman and I have been working on recently! We unify and generalize statistical models of neural dynamics during decision-making using switching state-space models https://arxiv.org/abs/2001.04571 pic.twitter.com/KKtSGPhKhN
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Finally, code is available at https://github.com/davidzoltowski/ssmdm … for the models and at https://github.com/slinderman/ssm for vLEM
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I'll be presenting this at Cosyne 2020, so if you're at the conference and interested you can come by my poster to hear more!
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To fit the models, we developed a scalable inference method for (r)SLDS models called vLEM. vLEM is a generalization of Laplace EM (see
@jakhmack, 2011) for single-state LDS models.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We demonstrated the approach on two sets of spiking recordings from monkey parietal cortex during decision-making, where we compared 1D vs. 2D accumulators and fit a ramping model with a variable lower bound.
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This provides a framework for modeling neural dynamics with 1D accumulation to bound dynamics (e.g. the DDM), multi-dimensional accumulators, variable & collapsing boundaries, trial-history effects, and more!pic.twitter.com/YzwDxIUZZP
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Normalizing flows were recently used in comp neuro by Sean Bittner and colleagues for identifying how theoretical neuro model parameters relate to emergent properties of interesthttps://www.biorxiv.org/content/10.1101/837567v2.abstract …
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Check out this great video introduction to normalizing flows by
@ari_seff!https://twitter.com/ari_seff/status/1203039097230680075 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out this awesome work from
@mikio_aoi and colleagues! They developed a model-based targeted dimensionality reduction method that when applied to PFC recordings identifies accumulation followed by rotational dynamics in a multi-dimensional subspace.https://twitter.com/mikio_aoi/status/1187037432463712258 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Belated but huge congrats to
@anqiwu_angela! Anqi's done a lot of awesome work applying GP latent variable models to analyze neural recordings (and more). We'll miss you in Princeton!https://twitter.com/jpillowtime/status/1153772680233017345 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Zoltowski proslijedio/la je Tweet
Excited to share a new preprint: "Discrete Object Generation with Reversible Inductive Construction", with
@zhouwenda,@FarhanD7, Abigail Doyle,@ryan_p_adams. https://arxiv.org/abs/1907.08268Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Congrats
@BaselessPursuit! We'll miss you in Princetonhttps://twitter.com/BaselessPursuit/status/1153310032701923328 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Zoltowski proslijedio/la je Tweet
Our lab vs
@jpillowtime lab at laser tag! So fun. And we won!
@lilixcai @muruganmalu@Nparker327@alexpan_neuro@JuliaMaryCox@SagivYotam@PrincetonNeuropic.twitter.com/BudD0ilTVg
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This will surely be fun.
@CamNeuro will this be available online?https://twitter.com/CamNeuro/status/1135546076646301697 …
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This awesome work is leading the push to develop increasingly powerful models of neural data that identify interesting and interpretable structure. Congrats Scott!https://twitter.com/scott_linderman/status/1124160151089549312 …
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David Zoltowski proslijedio/la je Tweet
3 years ago MIT grad student Katie Bouman led the creation of a new algorithm to produce the first-ever image of a black hole. Today, that image was released. More info: http://bit.ly/BHoleGuardian 2016 story: http://bit.ly/BlackHoleCSAIL
#EHTblackhole#EventHorizonTelescopepic.twitter.com/u6FBswmGDZ
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David Zoltowski proslijedio/la je Tweet
“If sexual harassment, misconduct, and retaliation are the firing squads that assassinate individual careers, then implicit bias is the lead in the water that poisons the entire town.”
#BiasAwareness#MeTooSTEM#WomenInScience#SAIDinSTEMhttps://www.hellobio.com/blog/gender-bias-from-a-woman-in-science.html?utm_source=twitter&utm_medium=paid%2Bsocial&utm_campaign=kay%2Btye%2Bgender%2Bbias …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Can’t wait to read this!https://twitter.com/shreyaneuroctrl/status/1106286489481154565 …
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Spoiler alert: the inductive bias of oi-VAE helps it learn much less painful representations of walking than a VAE. Nice work from Sam Ainsworth, Emily Fox, and others!https://twitter.com/jpillowtime/status/1103886313005101058 …
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David Zoltowski proslijedio/la je Tweet
New approximate algorithms allow running GLMs on *really* big neural datasets: http://papers.nips.cc/paper/7611-scaling-the-poisson-glm-to-massive-neural-datasets-through-polynomial-approximations.pdf … by
@jpillowtime labHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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