Travel Grants — COSYNE Apply for COSYNE 2026 Travel Grants to support your participation in Lisbon and Cascais, Portugal. Grants are available for students, postdocs, and PIs, including programs for Childcare, Presenters,…

📣 Travel Grants for #COSYNE25

📍 Computational & Systems Neuroscience #COSYNE will be held in Lisbon, Portugal, 12-15 March 2026.

Undergrads & those from traditionally under-represented and under-served groups are encouraged to apply.

Deadline is 12 November.

Travel Grants — COSYNE Apply for COSYNE 2026 Travel Grants to support your participation in Lisbon and Cascais, Portugal. Grants are available for students, postdocs, and PIs, including programs for Childcare, Presenters, N...

Travel awards are available for undergraduate students looking to attend #Cosyne25! The application is short, and the deadline is Nov 12. @cosynemeeting.bsky.social

Application: shorturl.at/6NEyk

More info: www.cosyne.org/travel-grants

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Amazing #cosyne25 @cosynemeeting.bsky.social Lots of feedback, tons of idea, wonderful exchanges !! @harikalidindi.bsky.social

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Thanks to everyone who attended our social at #COSYNE25! We hope you enjoyed learning about our research and upcoming grant opportunities. #neuroscience #science

Come see @lauragrima.bsky.social poster if you’re at COSYNE [3-017] A global learning rate allows rapid emergence of near-optimal foraging across many options! #cosyne2025 #cosyne25

#cosyne25? #cosyne2025? I never know

Couldn’t make it to #cosyne25 this year for family reasons and def having FOMO

For people lost trying to get to Fairmont the Queen Elizabeth for COSYNE, use the Mansfield street entrance or the Place Ville Marie entrance, not the normal main entrance.

Hoping this helps someone find the right place!
#cosyne25

I am speaking at COSYNE 2025. Please check out my talk if you're attending the event! #cosyne2025 #cosyne25

#COSYNE25
A tenet of neuroscience is that information is stored in the static strength of synapses. Jamie McDowell provides evidence to support the theory that synapses can also "learn" to govern their short-term dynamics--extending a key neuroscience tenet to the temporal domain.
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This week, I will be flying to COSYNE 2025 in Montreal!
If you are also at COSYNE, we can wave to each other!
#cosyne2025 #cosyne25

Excited to share our #cosyne25 workshop on learning across timescales! Check out our awesome line-up of speakers across both days: learning-fast-and-slow.github.io

Thursday night: @argalloni.bsky.social presenting [1-047] Dendritic target propagation: a biology-constrained algorithm for credit assignment in multilayer recurrent E/I networks! Come join me if you're attending COSYNE 2025. #cosyne2025 #cosyne25 - via #Whova event app

Learning in the brain is a complex process occurring over multiple timescales, from rapid adaptation to prolonged practice-dependent changes. Rapid motor adaptation, statistical learning, even one-shot learning happens within minutes or hours, whereas slower processes, like acquiring new motor skills, perceptual priors, and complex cognitive abilities, may take days, weeks, or even longer. Often, these learning processes have been studied in isolation. However, animals and their brains do not operate with clear boundaries between different learning types, especially in dynamic and unpredictable environments. Instead, learning can occur on a continuum of timescales and depend on interrelated neural mechanisms, with differential recruitment of parallel or sequential processes across tasks. By integrating perspectives from both fast and slow learning paradigms, this workshop seeks to uncover the underlying principles that govern this continuum, the specific roles played by various brain regions and circuits, as well as how to experimentally disambiguate between learning processes. Two common frameworks will be used to guide discussion and unify insights from multiple perspectives: Learning rules: differentiated based on feedback structure (e.g., supervised, unsupervised, reinforcement learning), activity dependence, and brain regions. Evolution of neural population activity: with an emphasis on changes to latent dynamical structure and representational geometry that support new task-relevant computations. A discussion on distributed and multi-timescale learning mechanisms is particularly timely due to recent advances in three key areas: (1) the ability to chronically monitor and perturb large neural populations, including multiple brain areas simultaneously, (2) the explosion of statistical and machine learning tools to extract structure from high-dimensional behavioral and neural data, and (3) insights from training artificial neural networks with bio-inspired architectures on increasingly complex behaviors. The workshop is designed for experimentalists and theoreticians working across different neural systems, with the goal of fostering not only the exchange of empirical findings but also mathematical tools and methodologies for studying learning mechanisms. This includes a discussion of identifiability issues and other challenges of fitting models to behavioral data, neural recordings, and perturbation experiments. This broader community can inspire new theory-guided experimental designs for testing specific predictions and enable the integration of theory and data on multiple levels – behavior, population activity structure, and cellular mechanisms. We will also discuss more conceptual questions such as the distributed nature of learning, what governs the dominance (if any) of different learning mechanisms or circuits, and when such degeneracy may lead to competitive or synergistic interactions. We will try to work towards a more holistic understanding of biological learning by re-emphasizing behavioral modeling, formalizing dynamics of multi-site plasticity, and incorporating a diversity of dense and sparse teaching signals.

But also Jake Sacks @jsacks.bsky.social, Matt Golub and I are organizing a #cosyne25 workshop on learning across timescales! Will share the stellar list of speakers in another post but we have everything from behaviour, networks to teaching signals, data and theory! learning-fast-and-slow.github.io

Visa/ green card holders in the US who had planned to go to @cosynemeeting.bsky.social , what are your current thoughts about leaving and reentering the US / has your university issued any new directive? I'm happy to dm/ chat over Signal too. #cosyne25 #neuroskyence

Call For Proposals — COSYNE

The call for #Cosyne25 workshop proposals is now live!
cosyne.org/workshops-call
Deadline: October 4th, 2024

please repost!