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Kelsey Han proslijedio/la je Tweet
New opinion piece on the organization of the ventral temporal cortex with Jim Haxby and
@samnastasehttps://www.sciencedirect.com/science/article/pii/S1053811920300483 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Kelsey Han proslijedio/la je Tweet
In a few months, my MIT Essential Knowledge book, "FMRI" will be coming out. I wrote a bit about the process and the book itself in my latest blog post.http://www.thebrainblog.org/2020/01/24/so-i-finally-wrote-a-book/ …
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Kelsey Han proslijedio/la je Tweet
Ten simple rules for the computational modeling of behavioral data https://doi.org/10.7554/eLife.49547 … from
@ccnlab and@NRDlabHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Kelsey Han proslijedio/la je Tweet
New preprint from the lab: "Individual differences among deep neural network models." https://www.biorxiv.org/content/10.1101/2020.01.08.898288v1 … Work with
@KriegeskorteLab,@HannesMehrer, and Courtney Spoerer.#tweeprint below. 1/7Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Kelsey Han proslijedio/la je Tweet
If you've got a favorite example of Bayesian modeling in psychology (and/or how it could be implemented neurally), let me hear about it!
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Kelsey Han proslijedio/la je Tweet
This thread is a combination of 10 free online courses on machine learning that I find the most helpful. They should be taken in order.
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Kelsey Han proslijedio/la je Tweet
A few great people thinking about brains and deep learning:
@tyrell_turing@SuryaGanguli@compneuro_epfl@neurograce@AnnaSchapiro@VisualMemoryLab@dyamins@hisspikeness@KriegeskorteLab@AdityaGilra@NeuroNaud@achristensen56@Pieters_Tweet@KepecsLabHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This was a fun collaborative work between me and my lab mate Gihyun, with a slight twist to the AI + neuroscience theme that we have been exploring to give it a more medical application flavor.
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Here, we were able to generate realistic 64x64x64 brain MR images (recently succeeded with 128x128x128) of multiple types (e.g. normal or diseased) and modalities (e.g. T2 or FLAIR) from scratch - as opposed to image-to-image translation - by leveraging alpha-GAN with WGAN-GP.
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Excited to announce that our paper entitled "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks" is accepted to
@miccai2019 (acceptance rate: 31%)!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Kelsey Han proslijedio/la je Tweet
During my PhD I nearly lost my mind thinking about why we build computational models in cognitive science. {thread}
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Kelsey Han proslijedio/la je Tweet
Gave a short lecture on visual field maps recently: some classics & some recent papers (biased by my interests & knowledge) & how to study them with fMRI. Simply love this story & thought I make a thread. Slides here: https://bit.ly/2wSfdKk .pic.twitter.com/3iYLWIHwau
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Kelsey Han proslijedio/la je Tweet
The first application of our latest theory of object manifolds on DCNNs is online. We characterize how ImageNet-based object manifolds untangle across layers of DCNNs, by connecting the changes in object manifold's geometry and the resultant improvement in manifold capacity.https://twitter.com/HSompolinsky/status/1136311424161071104 …
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Kelsey Han proslijedio/la je Tweet
Representation of abstract semantic knowledge in populations of human single neurons in the medial temporal lobehttps://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000290 …
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Kelsey Han proslijedio/la je Tweet
Katerina Malakhova
@neurovis generating images with GANs to visualize the tuning properties of macaque neurons, with very cool pareidolic images for face-responsive neurons.#VSS2019pic.twitter.com/GwhA1v7i4Y
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Kelsey Han proslijedio/la je Tweet
Thomas O’Connell: Zero-shot decoding from macaque IT using intermediate feature representations from a DCNN
#VSS2019pic.twitter.com/R5mgskJh0Z
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Kelsey Han proslijedio/la je Tweet
Our paper on "A mathematical theory of semantic development in deep neural networks" with Andrew Saxe and Jay McClelland is now out in
@PNASNews: https://www.pnas.org/content/early/2019/05/16/1820226116 … (arxiv version here: https://arxiv.org/abs/1810.10531 ) And old tweetstorm here:https://twitter.com/SuryaGanguli/status/1056606478285455360 …
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Kelsey Han proslijedio/la je Tweet
Now out in Neuroimage, our study comparing behavioral similarity judgments, fMRI, and DNNs across a wide range of object and scene categories As one of the reviewers put it, this is a "things are not as simple as you think" type of paper... https://bit.ly/2WGiCr2 pic.twitter.com/qG45nh6QvA
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Kelsey Han proslijedio/la je Tweet
Our paper is finally out!! With available data (https://doid.gin.g-node.org/2e31e304e03d6357c98ac735a1fe5788/ …) and code: (https://github.com/sacadena/Cadena2019PlosCB …) Work with
@ScrawnyG@eywalker Leon Gatys@bethgelab@AToliasLab and@alxeckerhttps://twitter.com/PLOSCompBiol/status/1124028280774905857 …
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