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#spikingneuralnetworks — Public Fediverse posts

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  1. For computational neuroscientists and neural network modelers:

    "Action potential waveforms are state-dependent.", Martin-Burgos et al. 2026 (Brad Boytek's lab)
    biorxiv.org/content/10.64898/2

    #neuroscience #SpikingNeuralNetworks #CompNeurosci

  2. RE: neuromatch.social/@neuralrecko

    Reminder everyone, the SNUFA spiking neural network workshop abstract submission deadline is end of next week! Get your abstracts in, and register for the event too.

    #Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

  3. Spiking neural network people - this year's SNUFA workshop is live!

    Talks by:
    ⭐ Eugene Izhikevich
    ⭐ Giulia D'Angelo
    ⭐ Mihai Petrovici
    ⭐ Susanne Schreiber

    Submit your abstracts by Sept 25th. Registration is open!

    More info at: snufa.net/2026/

    cc @fzenke

    #SpikingNeuralNetworks #ComputationalNeuroscience #Neuroscience

  4. New preprint on #neuromodulation in #SpikingNeuralNetworks of interest to people in #neuroscience and #neuromorphic computing.

    Headline result: neuromodulation gives a huge boost to performance, particularly in noisy environments, and reduces energy consumption by reducing neuron and spike counts.

    We also have tutorials and codes to integrate easily into your models.

    biorxiv.org/content/10.1101/20

  5. I just gave a short tutorial on what is a spiking neural network and how to train one. From zero to a trained network in one hour. Slides and code you can run in Colab at this repo:

    github.com/neural-reckoning/ca

    #Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

  6. New #neuromorphic #SpikingNeuralNetworks paper with Pengfei Sun, Zhe Su, @achterbrain, @giacomoi and Danyal Akarca:

    neural-reckoning.org/pub_dual_

    Long story short, we found a neat new trick for augmenting spiking neural networks with a tiny separate memory buffer, that gives a huge boost to performance on tasks with temporal structure at a very low memory cost (state-of-the-art performance with 40-60% fewer parameters). It's also very neuromorphic hardware-friendly and gives us 4x increased throughput and 5x improvement in energy efficiency compared to state-of-the-art.

    We think this is (a) a great example of where an abstraction inspired by biology can lead to networks that are both algorithmically effective and hardware-efficient, (b) shows the power of doing hardware-software co-design for neuromorphic computation.

  7. RE: mathstodon.xyz/@gconstantinide

    We're hiring for a project on #SpikingNeuralNetworks and #neuromorphic computing, to start in October this year, for 36 months. Can hire at pre- or post-PhD level. Feel free to email me informally, or apply at the link below. Please do share with your networks if you know someone who would be interested.
    #ComputationalNeuroscience

  8. Incorporating structural #plasticity in #SpikingNeuralNetworks (#SNN) enables dynamic #synaptic connectivity, reflecting the #brain's adaptability. By modeling synaptic growth and pruning based on #calcium concentration, we can simulate processes such as #learning and #MemoryFormation. In this post, I reproduce the #NESTSimulator tutorial on structural plasticity, demonstrating its impact on network stability and #homeostasis:

    🌍 fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #NeuralNetworks

  9. Postdoc fellowship opportunity for ECRs (<3 yrs post-PhD). Note that if you want to apply to work with me as your mentor, our dept has an internal deadline of Dec 4th so please email me asap. Our internal process is shorter than the full application.

    royalcommission1851.org/fellow

    #Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

  10. Reminder if you missed #SNUFA spiking neural network and neuromorphic workshop earlier this month, all our talks were recorded and are now available to watch.

    youtube.com/playlist?list=PL09

    #Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

  11. Psst - #neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kB of parameter memory by quantising weights and delays? Check out our preprint with Pengfei Sun and Danyal Akarca:

    arxiv.org/abs/2510.27434

    Or check out the TLDR thread on Bsky:

    bsky.app/profile/did:plc:niqde

    #SpikingNeuralNetworks #ComputationalNeuroscience #Neuroscience

  12. Spiking NN fans - the #SNUFA workshop (Nov 5-6) agenda is finalised and online now. Make sure to register (free) soon. (Note you can register for either day and come to both.)

    Agenda: snufa.net/2025/
    Registration: eventbrite.co.uk/e/snufa-2025-

    Thanks to all who voted on abstracts!

    #Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

  13. „Vor wenigen Wochen stellte ein chinesisches Forscherteam das Modell „SpikingBrain 1.0“ vor – eine #KI auf Basis eines #SpikingNeuralNetworks. Diese Technik soll nicht nur weniger Energie verbrauchen, sondern auch ohne Nvidia-Chips und ohne große Datenmengen auskommen.“🤔
    Lina Knees via #Handelsblatt

  14. Message for participants of the #SNUFA 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. To take part, follow the "abstract voting" link at:

    snufa.net/2025/

    It should take <15m. Thanks! ❤️

    #neuroscience #SpikingNeuralNetworks #ComputationalNeuroscience

  15. Today is the last day for submissions to the free online SNUFA spiking neural network workshop! This is a great opportunity to present your work (hundreds of participants and sometimes thousands of YouTube views per talk), and abstract submission is easy (300 words). Do it now!

    snufa.net/2025/

    #neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

  16. If you're interested in spiking neural networks, you should know about surrogate gradient descent and @fzenke.bsky.social's SPyTorch tutorial which shows just how easy it is to apply this method that's changing the whole field. Check out my paean below, published in @thetransmitter

    thetransmitter.org/this-paper-

    #SpikingNeuralNetworks #Neuroscience #ComputationalNeuroscience

  17. Submissions (short!) due for SNUFA spiking neural networks conference in <2 weeks!

    forms.cloud.microsoft/e/XkZLav

    More info at snufa.net/2025/

    Note that we normally get around 700 participants and recordings go on YouTube and get 100s-1000s views, so it's a good place to promote your work.

    Please repost.

    #neuroscience #SpikingNeuralNetwork #SpikingNeuralNetworks #snn #snufa

  18. Spiking neural networks people, this message is for you!

    The annual SNUFA workshop is now open for abstract submission (deadline Sept 26) and (free) registration. This year's speakers include Elisabetta Chicca, Jason Eshraghian, Tomoki Fukai, Chengcheng Huang, and... you?

    snufa.net/2025/

    Please boost!

    #neuroscience #computationalneuroscience #SpikingNeuralNetworks

  19. We are hiring a postdoc. It's a broadly scoped position but I think it would be of interest to someone in #Neuromorphic or #SpikingNeuralNetworks. See ad below. Inquiries to Dan Akarca because I will be on holiday.

    Note, the application deadline is very soon! (Unavoidable admin issues.)

    imperial.ac.uk/jobs/search-job

  20. Word cloud of abstracts we've received for #SNUFA #SpikingNeuralNetworks conference 2024. Register (free) by tomorrow afternoon UTC if you want to take part in selecting which abstracts get offered talk slots at the workshop!

    snufa.net/2024/

    #neuroscience

  21. We got 50% more submissions this year for the #SNUFA #SpikingNeuralNetworks conference compared to last year: thanks! ❤️

    We will shortly send out to registered participants a survey to allow you to take part in the approval voting scheme that will decide which abstracts we select as talks.

    Register soon if you want to take part!

    snufa.net/2024/

  22. Submit your abstracts for the #SNUFA #SpikingNeuralNetworks conference by tomorrow The conference is free, online and usually has around 700 highly engaged participants. Talks are selected by participant interest.

    Please do signal boost this!

    snufa.net/2024/

    #compneuro #neuroscience

    • Extends the HOTS algorithm to increase its performance by adding a homeostatic gain control on the activity of neurons to improve the learning of spatio-temporal patterns, we prove an analogy with off-the-shelf LIF #SpikingNeuralNetworks
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