Vishwa Goudar

[Wayne Soo @soowmwayne]

It is challenging to train continuous-time biological RNN models to learn long-term dependencies. In our latest paper (in #NeurIPS2023) with @NeuroGoudar @xjwanglab, we propose several solutions. 1/8
https://t.co/YHMlJsMhRR

[Ruben Laukkonen @RubenLaukkonen]

Our new paper is about the most scientifically bewildering state in meditation. If we figure this one out it’s a goldmine for consciousness research, possibly revealing about human hibernation, or useful for space travel. Who knows. Here's the wild story 👇

[Nature Neuroscience @NatureNeuro]

Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solving

https://t.co/JUTbKtnGDv

[bioRxiv @biorxivpreprint]

Comparing rapid rule-learning strategies in humans and monkeys https://t.co/TkM6AOIPCX #bioRxiv

[Dean Buono @DeanBuono]

@shanglin_zhou Mike Seay @JiannisTax @pgolshani introduce a differential-Delay-Match-Sample task, and show that human performance is influenced by the task irrelevant delays. RNNs that capture human performance multiplex WM and time in neural sequences.
https://t.co/O3VbIs0lNE

[Saray Soldado-Magraner @saraysoldado]

With @rodlaje and @HMotanis we prove that classic homeostatic rules -when applied to all synapse types- are unstable and cannot lead to inhibition-stabilized regimes such as Up-states. We report a family of rules that autonomously lead to stable Up-states and balanced dynamics.

[Helen Motanis (she/her) @HMotanis]

Thrilled to share that our new paper discussing network dynamics in #FragileX is online

https://t.co/M30juwRzz6

We show the following:

[Dave Freedman @djfreedman]

Gordon Conference on the Neurobiology of Cognition is on for this summer! Please join and spread the word! July 24-29, 2022 at Sunday Rivery in Newry, Maine. Apply now to attend and present your work! Trainees, please attend the GRS immediately prior! https://t.co/vaf9pMeiOt

[Warren W. Pettine @WarrenWPettine]

Preprint w @johndmurray and @adredish, “Human latent-state generalization through prototype learning with discriminative attention.”

This paper could interest those in neuroscience, psychology, psychiatry, or machine learning.

https://t.co/VMsOq3o307

[Ulises Pereira Obilinovic @ulisespereirao]

Out https://t.co/yX116kg0WK in Neuron today. This was a great collaboration in which Stefano Recanatesi and I are co-first authors working together with Luca Mazzucato and Zach Mainen labs. We combine electrophysiology, behavior, data analysis, and network modeling. 1/4

[Kevin Berlemont @BerlemontKevin]

Swartz Seminar @NYU_CNS
Tomorrow at 12pm: Prof Monty Escabi – "Encoding and perceiving the texture of sounds: auditory midbrain codes for recognizing and categorizing auditory texture and for listening in noise" | Fri, Oct 1, 2021 via @worldwideneuro https://t.co/hUhF71SySS

[Kevin Berlemont @BerlemontKevin]

Friday 17th September (tomorrow), Dr. Xiaosi Gu will give a talk "The Social Brain: From Model to Mental Health" for the Swartz Seminar (organized by myself and @AllenLiuYue) at @NYU_CNS
The talk (and questions) can be followed online at: https://t.co/zB6piUTc86

[Sara A Solla @SaraASolla]

Low dimensional representations of population neural activity - dare I say manifolds - play a fundamental role in learning facilitation.

[Vishwa Goudar @NeuroGoudar]

@ptheodoni Thanks Yota. Appreciate all your helpful feedback!

[bioRxiv Neuroscience @biorxiv_neursci]

Elucidating the neural mechanisms of Learning-to-Learn https://t.co/sqPohLpYMV #biorxiv_neursci

[Tim Vogels @TPVogels]

For those of you who love seeing my face, I'll be on NYU's @worldwideneuro tomorrow, 18:00 Vienna, 12:00 NYC, https://t.co/UwC0hkrGm8. If you only want the science, join at 18:05 & stick a post-it onto the lower right screen. Oh, and here's a hint what I'll be talking about ;)

[Wei Ji Ma @weijima01]

I don't understand the technical side but the human story is fascinating: https://t.co/4GHF1H6cKf via @QuantaMagazine (1/3)