Merge pull request #166 from ai-models/main

Add CARLSim

content/english/neuromorphic-computing/software/snn-frameworks/carlsim/index.md

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+---
+title: CARLsim
+type: neuromorphic-software
+description: GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with high biologically realistic synaptic dynamics.
+stars_widget_url: https://img.shields.io/github/stars/UCI-CARL/CARLsim6.svg?style=social
+stars: 34
+website: https://uci-carl.github.io/CARLsim3/
+field_of_application: Machine Learning, Hardware Interface
+source_code: https://github.com/UCI-CARL/CARLsim6
+license: MIT
+supports_hardware: True
+language: C/C++/Python
+maintainer: Jeff Krichmar
+---
+
+## Overview
+
+CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides a PyNN-like programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level.
+
+Some features include:
+- CUDA 11 support
+- CMake build system
+- Neuromodulatory features
+- Integration of Python LEAP
+- Axonal Plasticity learning rule (release 6.1)
+- a more complete STDP implementation which includes neuromodulatory mechanisms 
+- an automated parameter tuning interface that utilizes evolutionary algorithms to construct functional SNNs 
+- a test suite for functional code verification 

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