A Spiking neural network simulator NEST base on FPGA‘s cluster（LIF NEURON）

NEST Simulation:http://www.nest-simulator.org
NEST-github：https://github.com/nest/nest-simulator
NEST-14.0 github：https://github.com/nest/nest-simulator/releases/tag/v2.14.0

A Python package for simulator-independent specification of neuronal network models.
PyNN :http://neuralensemble.org/PyNN/

Implemention Spiking neural network simulator NEST on multi-GPU and distributed GPU
https://github.com/pnquanganh/opencl-nest
Nguyen Q A P, Andelfinger P, Cai W, et al. Transitioning Spiking Neural Network Simulators to Heterogeneous Hardware[C]//Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. ACM, 2019: 115-126.

Paper:A.Podobas,S.Matsuoka,Luk Wayne.Designing and accelerating spiking neural networks using OpenCL for FPGAs[C].//International Conference on Field Programmable Technology (ICFPT).Melbourne,VIC, Australia: IEEE,2017.

Describes a new biologically plausible mechanism for generating intermediate-level visual representations using an unsupervised learning scheme. https://github.com/roberthangu/snn_object_recognition
Paper:Masquelier, Timothée, Thorpe S J. Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity[J].PLoS Computational Biology, 2007, 3(2):e31.

Paper：Schuman C D , Potok T E , Patton R M , et al. A Survey of Neuromorphic Computing and Neural Networks in Hardware