lif-neurons

Embodied Drosophila: 138,639-neuron whole-brain connectome simulation (FlyWire v783) in a biomechanical body (NeuroMechFly v2 / MuJoCo). Vision, olfaction, gustation, flight, and emergent behaviors — all from the real connectome.

[CELL PATTERNS] Official repo of Noisy Spiking Neural Networks

Research Project regarding Satellite Image Recognition using SNN

Spiking Neural Network (SNN) – Reservoir Model with spike-based feature extraction

Drosophila larva connectome (1,373 neurons, 22,400 synapses) drives a real-time MuJoCo physics body. Sensory input activates biologically accurate LIF neural circuits. Based on Winding et al., Science 2023. Built with Python, MuJoCo, and Qwen2.5 LLM.

A research prototype world model that bridges digital perception and biological computation. Bio-WM combines a CNN encoder with a simulated DishBrain-inspired spiking neural network (LIF neurons, STDP plasticity)

his program generates a network of LIF neurons which are connected through chemical synapses.

FPGA-based neuromorphic electronic-nose prototype using Zynq SoC, spiking neural networks, LIF neurons, gas-sensor data processing and hardware/software co-design.

Architecture cognitive autonome, souveraine et neuromorphique. Gestion dynamique de la matrice W1. Projet 100% local.

example for the library SNN (reservoir computing based on Spiking Neural Networks (SNNs))