Earnings Summary: A snapshot of Smith+Nephewβs (SNN) Q4 2025 report
https://misryoum.com/us/markets/earnings-summary-a-snapshot-of-smithnephews-snn-q4/
β 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
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:
πhttps://www.fabriziomusacchio.com/blog/2026-02-16-nervos_stdp_snn_simulation_on_mnist/
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:
π https://www.fabriziomusacchio.com/blog/2026-02-12-stdp/
#CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity
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:
π https://www.fabriziomusacchio.com/blog/2026-02-01-structural_plasticity/