I just discovered the ARC-AGI initiative and the associated test to estimate how close "AI" models are from #AGI

https://arcprize.org/arc-agi

While I found the initiative interesting, I'm not sure I understand what in this test really guarantees that the model is capable of some form of generalization and problem-solving.
Wouldn't it be possible for specialized pattern-matching/discovering algorithms to solve such problems?
I imagine some computer scientists, mathematicians or computational neuroscientists have already had a look at this, so would anyone knows of some articles/blogs on the topic?

Maybe @wim_v12e? Is this something you already looked at?

A new version of the Open Source Brain (#OpenSourceBrain) model validation framework was just released. Please update your installations:

```
pip install -U OSBModelValidation
```

https://github.com/OpenSourceBrain/osb-model-validation/releases/tag/v0.3.9

#OMV is a #Python package that allows you to validate your #NeuroML models against different simulation engines---to ensure that you get the same behaviours on all these engines. Examples:

https://github.com/OpenSourceBrain/.github/blob/main/testsheet/README.md

Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study

Patient enrolment and baseline characteristics A total of 783 su…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Artificialintelligence #AI #ArtificialIntelligence #Biomedicine #biotechnology #Cognitiveageing #Cognitiveneuroscience #Computationalneuroscience #general #Imageprocessing #Medicine/PublicHealth #Technology
https://www.newsbeep.com/us/12439/

A new release of PyNeuroML is available, please update your installations:

https://github.com/NeuroML/pyNeuroML/releases

```
pip install --upgrade pyneuroml
```

Impact Scholars Spotlight

Congrats to Dimitris Dimitriou, Mathilde Martin, Başak Akbaş, Sofia Zangila and mentor Jason Manley on the project 'V1 neurons encode behavioral state variables and their rate-of-change in mice' as part of the Neuromatch Impact Scholars program.

https://youtu.be/yT5KBakPnac?feature=shared
https://zenodo.org/records/15390932

Almost last call to register for UK neural computation conference in London July 10-11. Registration deadline is July 1st. We have some great talks and posters as well as a session on funding with ARIA.

Look forward to seeing you all there. Now click here

https://neuralcomputation.uk/

Be a #volunteer reviewer for the #ImpactScholars Program; a global initiative supporting early-career #ComputationalScience researchers.

Review short proposals in one of the following areas:

• #ComputationalNeuroscience
• #DeepLearning
• #NeuroAI
• Computational Tools for #ClimateScience

Reviews take place between Sept 3–17
~5 hrs/week

Your time can help share someone’s scientific journey!
Learn more & sign up to volunteer: https://neuromatch.io/volunteer/

A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience

```
pip install --upgrade pyneuroml
```

If you're seeing your #NEST simulator builds fail recently, it's because of a new #Cython release:

https://github.com/nest/nest-simulator/issues/3495

Workaround: fix `cython<3.1.0` for the moment (until new NEST releases with the fix are made)

At Neuromatch Academy & Climatematch Academy, we’re not just running courses. Neuromatch is investing in the next generation of computational scientists, changemakers, & interdisciplinary thinkers.

As part of this mission, we offer Professional Development sessions that give our students & TAs real-world tools and insight before the coursework begins.

Want to get involved with Neuromatch? Join our mailing list: https://neuromatch.io/mailing-list/

In the next version, 0.6.6, all component classes in the #libNeuroML #Python API gain a quick method to list the parameters of their model objects. So, if you load a #NeuroML file/model, you can easily print the parameters of the different model entities. See the test in the pull request for a quick example:

https://github.com/NeuralEnsemble/libNeuroML/pull/208/files

How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning.

New preprint from @yang_chu.

https://arxiv.org/abs/2001.10605

Thread below

I keep going back to this question about #TemporalCreditAssignment and #HippocampalReplay:
As an "agent" you want to learn the value of places and which places are likely to lead to reward;

-1) if a place leads to higher than expected reward, you'll want to propagate back the reward info from the reward throughout the places that led to the reward. If replay does that you should see an increase of replay at a new reward site and the replay sequences should start at the reward and reflect what you just did to reach it. Right?

-2) if a place leads to lower than expected reward, you'll also want to propagate that lowered value, pretty much in the same way, so if replay does that you should see a similar replay rate and content for increased OR decreased reward sites. Right?

-3) if a place has had unchanged reward for a while and you're just in exploitation mode (just going there again and again because you know that's the best place to go to in the environment) then you shouldn't need to update anything and replay rate should be quite low at that unchanged reward side. Right?

That's not at all what replay is doing IRL, so does that mean replay is not used for temporal credit assignment? Or did I (very likely) miss something?

#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.

Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.

https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code

CC #AcademicChatter

With the current situation in the #US, several of my former colleagues there are looking for a #PostDocJob in #Europe, to do #BehaviouralNeuroscience or #ComputationalNeuroscience in #SpatialCognition (or adjacent).
Lots of hashtags I know..

Do you know a #EU or #UK #Neuroscience lab looking to hire a postdoc in these fields? Let me know and I'll pass it on to them!

Edit: adding #RodentResearch and #humanresearch for the species concerned (in this case)

Come along to my (free, online) UCL NeuroAI talk next week on neural architectures. What are they good for? All will finally be revealed and you'll never have to think about that question again afterwards. Yep. Definitely that.

Wed 12 Feb 2025
2-3pm GMT
Details and registration: https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1216638381149

We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: https://doi.org/10.7554/eLife.95135.3

#NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.

#Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x

We are finally on Mastodon, time for a little #introduction !

Brian is a #FOSS simulator for biological #SpikingNeuralNetworks, for research in #ComputationalNeuroscience and beyond. It makes it easy to go from a high-level model description in Python, based on mathematical equations and physical units, to a simulation running efficiently on the CPU or GPU.

We have a friendly community and extensive documentation, links to everything on our homepage: https://briansimulator.org

This account will mostly announce news (releases, other notable events), but we're also looking forward to discussing with y'all

My first post in Mastodon!
I'm Nosrat, I'm doing my PhD in computational neuroscience in university of Geneva.
I’m working on understanding underlying dynamics via direct measurement of neural spiking under the supervision of Timothée Proix.
A repost would be amazing as I’m finding my network here in Mastodon.
#neuroscience #computationalneuroscience #Introduction

Hey! New to mastodon. Hoping to connect to folks posting about #neuroscience, #academia, #antiracism, #BlackInNeuro, #BlackInSTEM, etc. I did my #phd in #computationalneuroscience and am a #postdoc in an #NIH #IRACDA program at #JHU researching cognitive control and decision making through modeling behavioral and intracranial EEG data. I am teaching at Coppin State University, an #HBCU in #Baltimore. Interested in science and activism.