#snn — Public Fediverse posts

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
https://tpavlic.github.io/asu-bioinspired-ai-and-optimization/spiking_neural_networks/snn_explorer.html

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:

🌍 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:

🌍 https://www.fabriziomusacchio.com/blog/2026-02-01-structural_plasticity/

#CompNeuro #Neuroscience #NeuralNetworks

Lees tip -> FIOD pakt subsidiefraude aardbevingsschade aan | FIOD houdt vijf mannen aan wegens vermoedelijke subsidiefraude met aardbevingsschade in Groningen en roept andere fraudeurs op zich vrijwillig te melden bij het Openbaar Ministerie. | #aardbevingsschade #Fiod #Groningen #IMG #OpenbaarMinisterie #SNN #subsidiefraude #vastgoedondernemers #verduurzamingssubsidie |

https://hbpmedia.nl/subsidiefraude-aardbevingsschade-groningen/

I recently played around with #RateModels using #NESTsimulator. Compared to #SNN, RM focus on average firing rates of #NeuronPopulations, simplifying analysis of large networks. They effectively capture collective dynamics like #oscillations and #synchronization, though they miss precise spike timing details. Thus, both approaches have their merits. Here is a brief overview:

🌍 https://www.fabriziomusacchio.com/blog/2025-08-28-rate_models/

#CompNeuro #Neuroscience #Python #PythonTutorial #SpikingNeuralNetwork

Here is a direct follow-up on this, now showing how to implement #GapJunctions in a network of #spiking #neurons (#SNN) using the #NESTsimulator. We simulate a network of 500 inhibitory neurons with gap junctions and analyze the effects on #synchrony and #oscillations. The code is also available on GitHub. Feel free to modify and expand upon it 🤗

🌍 https://www.fabriziomusacchio.com/blog/2025-09-17-gap_junctions_network_example/

#CompNeuro #Neuroscience https://sigmoid.social/@pixeltracker/115044925455984072

Как работают мозгоподобные чипы: от нейроморфных архитектур до реальных приложений

В этой статье я расскажу о нейроморфных чипах — аппаратных решениях, вдохновлённых биологическим мозгом. Без сухой теории и без ссылок на чужие публикации: только мои наблюдения, эксперименты на FPGA и готовые примеры на Python и C++. Почти детективный сюжет про транзисторы, которые ведут себя как нейроны, и про то, как они помогают роботам и «умным» датчикам работать миллисекунды.

https://habr.com/ru/articles/930248/

#нейроморфный_чип #SNN #intel_loihi #fpga #stdp #edge_computing #DVS #spinnaker

Due to its computational efficiency and biological plausibility, the #IzhikevichModel is an exceptional tool for understanding #neuronal interactions within #SpikingNeuralNetworks (#SNN). Here’s a quick #Python implementation of Izhikevich's original #Matlab code along with examples using different synaptic weights and neuron types, each leading to diverse spiking behaviors and network dynamics:

🌍https://www.fabriziomusacchio.com/posts/izhikevich_network_model/

#CompNeuro #Neuroscience #ComputationalScience #NeuralNetworks #modeling

Very interesting work by Confavreux and colleagues on #MetaLearning families of #plasticity rules in #RecurrentSpikingNetworks using simulation-based inference 👌

🌍 https://openreview.net/forum?id=FLFasCFJNo

#RSN #CompNeuro #Neuroscience #NeurIPS2023 #SynapticPlasticity #SpikingNeuronalNetwork #SNN