Energy-efficient Event-driven Spiking Neural Network accelerator for FPGA with PyTorch integration
-
Updated
Feb 10, 2026 - VHDL
Energy-efficient Event-driven Spiking Neural Network accelerator for FPGA with PyTorch integration
This repository is an implementation of LIF neuron model (Leaky Integrate and Fire), Adaptive LIF and Adaptive Exponential LIF from scratch.
Leaky Integrate and fire model Example
🪰 Chat with 138,000 neurons — whole-brain fruit fly simulation with natural language interface and dopamine learning
Simulation of Leaky Integrate and Fire (LIF) neuron to study membrane dynamics and spike generation.
Add a description, image, and links to the lif-model topic page so that developers can more easily learn about it.
To associate your repository with the lif-model topic, visit your repo's landing page and select "manage topics."