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#computationalneuroscience

2 posts2 participants0 posts today
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Neuromatch

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: neuromatch.io/mailing-list/

#ComputationalNeuroscience#ClimateScience#OpenScience
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Laurent Perrinet

🧠 Nouveau Réseau Français De Neurosciences Computationnelles !🧠

Une initiative passionnante est en cours en France ! Des chercheurs établissent un réseau national dédié aux #NeurosciencesComputationnelles pour faciliter :

  • La collaboration entre équipes de recherche
  • Le partage de connaissances et de ressources
  • La formation de la prochaine génération de chercheurs
  • La visibilité de la recherche française dans ce domaine en pleine expansion

🔍 Vous travaillez en #ComputationalNeuroscience sur le territoire français ? Que vous soyez chercheur·e confirmé·e, post-doctorant·e, doctorant·e ou étudiant·e, rejoignez notre communauté !

📝 Inscrivez-vous à notre liste de diffusion pour recevoir les actualités, événements et opportunités :

➡️ listes.services.cnrs.fr/wws/su

Ensemble, renforçons l'excellence française en #NeurosciencesComputationnelles !
#Recherche #Neuroscience #CNRS #Science #IA #IntelligenceArtificielle

listes.services.cnrs.frrt_neurocomp - réseau français de neurosciences computationnelles - subscribe
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Neurofrontiers

A few weeks ago, I shared a differential equations tutorial for beginners, written from the perspective of a neuroscientist who's had to grapple with the computational part. Following up on that, I've now tackled the first real beast encountered by most computational neuroscience students: the Hodgkin-Huxley model.

While remaining incredibly elegant to this day, this model is also a mathematically dense system of equations that can overwhelm and discourage beginners, especially those with non-mathematical backgrounds. Similar to the first tutorial, I've tried to build intuition step-by-step, starting with a simple RC circuit, layering in Na⁺ and K⁺ channels, and ending with the full spike-generation story.

Feedback is welcome, especially from fellow non-math converts.
neurofrontiers.blog/building-a

#ComputationalNeuroscience #Python #hodgkinHuxleyModel #math #biophysics

From: @neurofrontiers
neuromatch.social/@neurofronti

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Dan Goodman

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.

arxiv.org/abs/2001.10605

Thread below 👇

arXiv.orgLearning spatial hearing via innate mechanismsThe acoustic cues used by humans and other animals to localise sounds are subtle, and change during and after development. This means that we need to constantly relearn or recalibrate the auditory spatial map throughout our lifetimes. This is often thought of as a "supervised" learning process where a "teacher" (for example, a parent, or your visual system) tells you whether or not you guessed the location correctly, and you use this information to update your map. However, there is not always an obvious teacher (for example in babies or blind people). Using computational models, we showed that approximate feedback from a simple innate circuit, such as that can distinguish left from right (e.g. the auditory orienting response), is sufficient to learn an accurate full-range spatial auditory map. Moreover, using this mechanism in addition to supervised learning can more robustly maintain the adaptive neural representation. We find several possible neural mechanisms that could underlie this type of learning, and hypothesise that multiple mechanisms may be present and interact with each other. We conclude that when studying spatial hearing, we should not assume that the only source of learning is from the visual system or other supervisory signal. Further study of the proposed mechanisms could allow us to design better rehabilitation programmes to accelerate relearning/recalibration of spatial maps.
#neuroscience#computationalneuroscience#compneuro
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Neurofrontiers

When I transitioned from cognitive to computational neuroscience, I found myself in a bit of a bind. I had learned calculus, but I had progressed little beyond pattern recognition: I knew which rules to apply to find solutions to which equations, but the equations themselves lacked any sort of real meaning for me.

So I struggled with understanding how formulas could be implemented in code and why the code I was reading could be described by those formulas. Resources explaining math “for neuroscientists” were unfortunately quite useless for me, because they usually presented the necessary equations for describing various neural systems, assuming the presence of that basic understanding/intuition I lacked.

Of course, I figured things out eventually (otherwise I wouldn’t be writing about it), but I’m 85% sure I’m not the only one who’s ever struggled with this, and so I wrote the tutorial I wish I could’ve had. If you’re in a similar position, I hope you’ll find it useful. And if not, maybe it helps you get a glimpse into the struggles of the non-math people in your life. Either way, it has cats.

neurofrontiers.blog/building-a

Neurofrontiers · Building a virtual neuron - part 1 - Neurofrontiers
More from neuronerd
#neuroscience#math#ComputationalNeuroscience
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Ankur Sinha "FranciscoD"

#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.

docs.neuroml.org/NeuroMLOrg/Ou

CC #AcademicChatter

docs.neuroml.orgOutreach and training — NeuroML Documentation
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Alex M. Vikoulov

For those fascinated by the physics of time, quantum consciousness, and the possibilities of time travel, Temporal Mechanics is a mind-expanding read (or listen).
ecstadelic.net/e_news/temporal
#TemporalMechanics #QuantumPhysics #DigitalPhysics #CognitiveScience #QuantumAI #QuantumComputing #consciousness #QMInterpretation #ArrowofTime #TimeTravel #CyberneticTheory #Timescales #TimePerception #QuantumMultiverse #AlternateTimelines #OmegaPoint #ComputationalNeuroscience #entropy #complexity

ecstadelic.netTemporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time by Alex M. Vikoulov | Now available as an Audible audiobookEcstadelic Media Group releases Temporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time, The Seminal Papers series (Vol.I) by Alex M. Vikoulov as an Audible audiobook in addition to a recently released Kindle eBook (P
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El Duvelle Neuro

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)

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Dan Goodman

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
ℹ️ Details and registration: eventbrite.co.uk/e/ucl-neuroai

EventbriteUCL NeuroAI Talk SeriesA series of NeuroAI themed talks organised by the UCL NeuroAI community. Talks will continue on a monthly basis.
#neuroscience#CompNeuro#ComputationalNeuroscience
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Neuromatch

🚀 Neuromatch Academy 2025 is coming! 🚀

📢 Key Dates:
📍 Feb 24 – Applications Open!
📍 Mar 23 – Deadline (Midnight in your timezone)
📍 Mid-April – Decisions Announced
📍 Early May – Enrollment Deadline

Join a global community & dive into Computational Neuroscience, Deep Learning, Comp Tools for Climate Science, or NeuroAI! Don’t miss out—apply & tag a friend! 🌍✨

Road map to important application dates. February 24, Applications Open. March 23, Applications Close. Mid-April, Application Decisions. Early-May, Enrollment Deadline.
#NMA2025#AIForAll#ComputationalNeuroscience
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Ankur Sinha "FranciscoD"

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”: 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

An image with the NeuroML logo in the middle and the different steps of the model building life cycle around it: create, validate, visualize, simulate, fit, share, re-use.
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