Manuel Beiran

Postdoctoral researcher in computational neuroscience

[Manuel Beiran @mBeiran]

Very happy to share our article on parametric control of low-dimensional manifolds! https://t.co/ZfEoSLU870

What neural mechanisms support generalization in temporal tasks? How can neural dynamics be controllable by inputs? ⏬

[Nature Neuroscience @NatureNeuro]

Connectome datasets alone are generally not sufficient to predict neural activity. However, pairing connectivity information with neural recordings can produce accurate predictions of activity in unrecorded neurons

https://t.co/EWaBaM7soD

[Manuel Beiran @mBeiran]

@madhav____s Thank you, Madhav :)

[Manuel Beiran @mBeiran]

So happy to see this work out!

We studied when brain connectomes can be used to accurately predict neural activity, and when they can't.

Happy to chat more about it, please do reach out if interested.

https://t.co/ZRTzBRpUV7

[Manuel Beiran @mBeiran]

@PegahKF Thank you, Pegah!!

[Manuel Beiran @mBeiran]

Here's an open-access link to the full text: https://t.co/NBT6z4xnic

[Manuel Beiran @mBeiran]

In one sentence: We studied how multiple neural regions with random connectivity interact through low-dimensional communication subspaces.

I wanted to thank the reviewers as well for their thoughtful comments.

Please reach out if you have any thoughts on the work!

[Manuel Beiran @mBeiran]

Very happy to see this work published with amazingly talented David Clark!

For David's updated summary, check him out on the bluer platform.

https://t.co/iGRrYvsasC

[David Clark @d_g_clark]

New preprint with @mBeiran on a theory of multiregion recurrent neural networks! We study networks where regions have a mix of random and structured connectivity, with low-rank “communication subspaces” between regions enabling selective activity routing.
https://t.co/AbyrLJwedm

[Simons Foundation @SimonsFdn]

We are pleased to announce the newest recipients of our Shenoy Undergraduate Research Fellowship in Neuroscience (SURFiN). These 75 talented undergrads will gain hands-on experience as they contribute to #neuroscience research. https://t.co/QfjgxJ26Mg #science

[Manuel Beiran @mBeiran]

@LLogiaco @CUAnschutz Congratulations, Laureline!! I'm very happy for you.

They're very lucky to have you at @CUAnschutz !

[Manuel Beiran @mBeiran]

Looking forward to presenting my postdoc work at
@TheoreticalWide
this Wednesday (April 3rd)! Tweeprint still to come... in the meantime, here is the fresh preprint ⏬

[bioRxiv Neuroscience @biorxiv_neursci]

Prediction of neural activity in connectome-constrained recurrent networks https://t.co/7Vye5hREv0 #biorxiv_neursci

[Simons Foundation @SimonsFdn]

Applications are now open for 2024–2025 Shenoy Undergraduate Research Fellowship in Neuroscience (SURFiN) program! Deadline to apply is 5/1. Read more about eligibility and see if there is a lab near you: https://t.co/ZmsbNYRQdk

[Manuel Beiran @mBeiran]

Shoutout to the indefatigable @d_g_clark, who handled the heavy lifting, and from whom I've learned a ton. It's been a lot of fun!

[Manuel Beiran @mBeiran]

Happy to share our new work studying the dynamics of interacting multi-region recurrent neural networks!

Dynamical mean-field theory, low-rank communication subspaces, inter-region currents... check the preprint below to find out more:

[David Clark @d_g_clark]

New preprint with @mBeiran on a theory of multiregion recurrent neural networks! We study networks where regions have a mix of random and structured connectivity, with low-rank “communication subspaces” between regions enabling selective activity routing.
https://t.co/AbyrLJwedm

[Ramon Nogueira @RNogueiraNeuro]

I am very excited to announce that I will start my own lab at the Grossman Center at @UChicago_Brains in late winter 2024! I am looking forward to working alongside with its members and the rest of the Dept. of Neurobiology. I'll start hiring soon, reach out if interested!

[Manuel Beiran @mBeiran]

Can't wait to see the discoveries that will come from the always inspiring Agostina @APalmigiano and colleagues at Gatsby!

[Gatsby Computational Neuroscience Unit @GatsbyUCL]

We are delighted to announce that Dr Agostina Palmigiano (@APalmigiano) will join the Gatsby Unit as Lecturer in January, developing data-driven theoretical approaches to uncover neural mechanisms underlying cognitive functions.
Learn more at https://t.co/sJaIdH1YWw

[Columbia University's Zuckerman Institute @ZuckermanBrain]

The brain has bottlenecks: places where lots of cells pass information to only a few cells. That might actually be a good thing. New research by @SMusciMol & Ashok Litwin-Kumar on @NatureNeuro suggests bottlenecks help us learn and sense the world:
https://t.co/C6tLI4ESIy

[Manuel Beiran @mBeiran]

Our News & Views related to this interesting work by @jason_z_kim and @DaniSBassett, about engineering recurrent neural networks, is out!

Read it here (free access link): https://t.co/4pE3sMwxaT

Written with @guachitaspencer and @KanakaRajanPhD

[Jason Kim @jason_z_kim]

Have you ever wanted to program dynamical models directly into your RNNs the same way you do computers? Ever wanted to extract the analytical model your RNN has learned? find out how here! https://t.co/5SfpfqTWWj. Here's a game of pong programmed into an RNN.

[Manuel Beiran @mBeiran]

It was a very fun and stimulating collaboration. Thanks for the opportunity and congratulations to @MarkHisted, Bradley @akitakeb, Hannah @hmdougla and colleagues. A wonderful team!

[Manuel Beiran @mBeiran]

New work from @HistedLab on changes in cortical activity when learning to detect an optogenetic stimulus, click on the thread below!

Thrilled to have contributed w. @KanakaRajanPhD to the modeling of the results using recurrent neural networks.

[Mark Histed @HistedLab]

Happy to share our recent paper, showing cortical pattern amplification with learning, w/ @KanakaRajanPhD lab,
just pub'd in Curr Biology. 🧠📄

Below in thread: Huge percept. improvement. No vis resp changes. Simple recurrent model. Relationship to recent @PeronLab. +more. 1/14

[Manuel Beiran @mBeiran]

@FurqanAfsal @SinaiBrain Congratulations, doctor!