eman

[eman @froudara]

@[email protected]

[eman @froudara]

Not a heavy user of Twitter by any means, but I am moving permanently to that other platform. Social networking has become too important for us, so let's move to a place where we have the control. As scientists I guess we shouldn't be afraid of change right?

[Kording Lab 🦖 @KordingLab]

@noam @imbernomics And https://t.co/qONf4jeOV0 also does not prevent you from telling your friends where the after party is pumping

[Jacob Reimer @viajake]

quick review of the scientific method in today's lab meeting

[eman @froudara]

@viajake Try dipping the electrode in cranberry sauce, makes it easier to find.

[Katrin Franke @kfrankelab]

Thrilled to share our work @biorxiv_neursci

"Behavioral state tunes mouse vision to ethological features through pupil dilation"

https://t.co/slF8L4LTCF

We identify a new role of rapid pupil dilation with behavioral/brain state

/w @KonstantinWille @sinzlab @AToliasLab & 1/n👇

[Wei Ji Ma @weijima01]

When I had just started my job at @NYU_CNS @NYUPsych in 2013, I pitched a project to incoming graduate students.

It was a wild new direction for me: using board games to understand how people think ahead.

7.5 years later, we have a preprint. https://t.co/i1Hk0WfdXt

1/

[R. James Cotton @peabody124]

Our (@AToliasLab and @sinzlab) NeurIPS 2020 paper on developing a "Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses" is now on arXiv: https://t.co/EdhFmzqsnI with . Here is a short summary: https://t.co/YrmCMWgtHt

[Andreas Tolias Lab @ Stanford University @AToliasLab]

Multimodal census-atlas of cell types of mouse and primate motor cortex including Patch-Seq data. Massive effort from https://t.co/59XZKYG1G6 labs of @NIH BRAIN Initiative. Proud to be part of it with @CellTypist @FedericoScala7 @hippopedoid @sandberglab https://t.co/dliMoMgLU2

[sinzlab @sinzlab]

Do data-driven models in neural system identification generalize to unseen neurons and animals? We investigate this question in a new preprint. Spoiler: They do … quite well actually. Joint work with @AToliasLab @alxecker

https://t.co/yEt52P64lI (1/6)

[Dmitry Kobak @hippopedoid]

An interview with @CellTypist and myself about our Nature Comms paper on the art of using t-SNE for scRNA-seq. Read for a layman intro to SNE, t-SNE, UMAP, and all that. Including some historical perspective.

Thanks to Peggy Wang for interesting questions and helpful editing!

[Andreas Tolias Lab @ Stanford University @AToliasLab]

1/3 Lead by @froudara we study how the geometry of objet manifolds changes across the cortical hierarchy using large scale recordings across the whole visual cortex. With @UriCohen42 @DiamantakiMaria @eywalker @viajake @CellTypist @HSompolinsky https://t.co/AwVWSkmrIO

[eman @froudara]

https://t.co/NK1eHva24r

[bioRxiv @biorxivpreprint]

Object manifold geometry across the mouse cortical visual hierarchy https://t.co/jBwLjUNnQP #bioRxiv

[eman @froudara]

Ιn our recent biorxiv preprint we study object representations across the mouse visual hierarchy. https://t.co/3vkTaqS1ak

[eman @froudara]

We applied the theory of linear separability of manifolds, and found that the increase in classification capacity is associated with a decrease in the dimension and radius of the object manifold, identifying features of the population code that enable invariant object coding.

[Andreas Tolias Lab @ Stanford University @AToliasLab]

The visual cortex in Context. With @froudara @paulgfahey @viajake Smirnakis Tehovnik we review the interactions of mouse visual cortex with the rest of the brain. https://t.co/HK74oHkZ1f

[Andreas Tolias Lab @ Stanford University @AToliasLab]

#InceptionLoops combine large scale recordings with #DeepLearning to reveal a neuron's feature selectivity, such as most exciting inputs. Optimal stimuli for mouse V1 are not Gabors. https://t.co/CJbwFCpJki in #NatureNeuroscience Lead by @eywalker @sinzlab together with @ecobost

[Andreas Tolias Lab @ Stanford University @AToliasLab]

#DeepLearning surpasses humans in many tasks (#AlphaGo) but does not generalize well to new situations. With @fabiansinz @xaqlab @viajake @bethgelab we discuss ideas in @NeuroCellPress how neuroscience can guide the quest for better generalization.
https://t.co/GlIVC59NUW

[eman @froudara]

In our recent paper published at @NatureComms we show how EPL interneurons take part in the non-linear processing in the olfactory bulb of the mouse
https://t.co/fajCmYmUzM