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#snn β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #snn, aggregated by home.social.

  1. Ok. I think the last widget I'll be building for my Bio-Inspired #AI and Optimization course this semester.

    Spiking Neural Network ( #SNN ) explorer

    LIF Neuron model, Rate coding, STDP, Survey of HW&SW implementations, #Neuromorphic applications & learning
    tpavlic.github.io/asu-bioinspi

  2. Ok. I think the last widget I'll be building for my Bio-Inspired #AI and Optimization course this semester.

    Spiking Neural Network ( #SNN ) explorer

    LIF Neuron model, Rate coding, STDP, Survey of HW&SW implementations, #Neuromorphic applications & learning
    tpavlic.github.io/asu-bioinspi

  3. Ok. I think the last widget I'll be building for my Bio-Inspired #AI and Optimization course this semester.

    Spiking Neural Network ( #SNN ) explorer

    LIF Neuron model, Rate coding, STDP, Survey of HW&SW implementations, #Neuromorphic applications & learning
    tpavlic.github.io/asu-bioinspi

  4. Ok. I think the last widget I'll be building for my Bio-Inspired and Optimization course this semester.

    Spiking Neural Network ( ) explorer

    LIF Neuron model, Rate coding, STDP, Survey of HW&SW implementations, applications & learning
    tpavlic.github.io/asu-bioinspi

  5. Ok. I think the last widget I'll be building for my Bio-Inspired #AI and Optimization course this semester.

    Spiking Neural Network ( #SNN ) explorer

    LIF Neuron model, Rate coding, STDP, Survey of HW&SW implementations, #Neuromorphic applications & learning
    tpavlic.github.io/asu-bioinspi

  6. Earnings Summary: A snapshot of Smith+Nephew’s (SNN) Q4 2025 report

    misryoum.com/us/markets/earnin

    β€œ Smith+Nephew (NYSE: SNN) reported revenue growth across its operating segments for the fourth quarter of fiscal 2025. ManojNair Β· March 2, 2026 Smith+Nephew (NYSE: SNN) reported revenue growth across its operating segments for the fourth quarter of fiscal...

    #Earnings #Summary #snapshot #SmithNephews #SNN #2025 #report #US_News_Hub #misryoum_com

  7. Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:

    🌍fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #NeuralPlasticity

  8. Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:

    🌍fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #NeuralPlasticity

  9. Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:

    🌍fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #NeuralPlasticity

  10. Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:

    🌍fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #NeuralPlasticity

  11. Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:

    🌍fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #NeuralPlasticity

  12. Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

    🌍 fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

  13. Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

    🌍 fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

  14. Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

    🌍 fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

  15. Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

    🌍 fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

  16. Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

    🌍 fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. Boeren in de provincie Groningen kunnen vanaf 16 januari subsidie aanvragen voor investeringen in duurzame landbouw. Het gaat om steun voor machines en installaties die (jonge) bedrijven toekomstbestendig maken.

    #Landbouwtransitie #verduurzaming #SNN
    rtvzulthe.nl/westerkwartier/pr