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https://github.com/UCI-CARL/CARLsim6
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
https://github.com/UCI-CARL/CARLsim6
Last synced: 3 months ago
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CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
- Host: GitHub
- URL: https://github.com/UCI-CARL/CARLsim6
- Owner: UCI-CARL
- License: mit
- Created: 2022-01-09T01:10:35.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2024-04-16T21:25:30.000Z (7 months ago)
- Last Synced: 2024-06-18T11:32:15.385Z (5 months ago)
- Language: C++
- Homepage:
- Size: 82.7 MB
- Stars: 37
- Watchers: 12
- Forks: 14
- Open Issues: 19
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG
- License: LICENSE
- Authors: AUTHORS
Awesome Lists containing this project
- awesome-neuromorphic - CARLSim - 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. (Spiking and Neuromorphic Frameworks)
README
# CARLsim 6.1
[](https://github.com/UCI-CARL/CARLsim6/actions/runs)[](https://github.com/UCI-CARL/CARLsim6/actions/runs)
[](https://coveralls.io/github/UCI-CARL/CARLsim6?branch=master)
[](http://uci-carl.github.io/CARLsim6)
[](https://groups.google.com/forum/#!forum/carlsim-snn-simulator)
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.
New features in CARLsim 6 include:
- CUDA 11 support
- CMake build system
- Neuromodulatory features
- Integration of Python LEAP
- Axonal Plasticity learning rule (release 6.1)
If you use CARLsim 6 in your research, please cite our [paper](https://ieeexplore.ieee.org/document/9892644)
Niedermeier, L., Chen, K., Xing, J., Das, A., Kopsick, J., Scott, E., Sutton, N., Weber, K., Dutt, N., and Krichmar, J.L. (2022).
"CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation".
Presented at the [WCCI2022 IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, Padua, Italy, 2022](https://wcci2022.org/).
In [Proceedings 2022 of IEEE International Joint Conference on Neural Networks (IJCNN)](https://ieeexplore.ieee.org/document/9892644).
For the new learning rule Axonal Plasticity, please cite this [paper](https://www.socsci.uci.edu/~jkrichma/CARLsim61-IJCNN2023.pdf):
Niedermeier, L. and Krichmar, J.L. (2023).
"Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations".
Presented at the [International Joint Conference on Neural Networks (IJCNN), Queensland, Australia, 2023](https://2023.ijcnn.org).
To appear in the [Proceedings 2023 of IEEE International Joint Conference on Neural Networks (IJCNN)](https://ieeexplore.ieee.org/xpl/conhome/1000500/all-proceedings).
## Quickstart for Linux
Detailed instructions for installing the latest stable release of CARLsim on Linux and Windows
can be found in our [User Guide](http://uci-carl.github.io/CARLsim6/ch1_getting_started.html).
### Build and Install
```
cd ~/git
git clone https://github.com/UCI-CARL/CARLsim6.git CARLsim6
cd CARLsim6
mkdir .build
cd .build
cmake -DCMAKE_INSTALL_PREFIX=/home/user1/carlsim6 -DCMAKE_BUILD_TYPE=Release ../.
make install
```
### Run simple SNN simulation
Open a new terminal and validate the settings with `env`.
Start `~/carlsim6/samples/hello_world`
## Prerequisites
CARLsim 6 comes with the following requirements:
- CMake 3.20 or higher
- CUDA Toolkit 11.0 or higher. For platform-specific CUDA installation instructions, please navigate to
the [NVIDIA CUDA Zone](https://developer.nvidia.com/cuda-zone).
This is only required if you want to run CARLsim in `GPU_MODE`. Make sure to install the
CUDA samples, too, as CARLsim relies on the file `helper_cuda.h`.
- (optional) A GPU with compute capability 6.0 or higher. To find the compute capability of your device please
refer to the [CUDA article on Wikipedia](http://en.wikipedia.org/wiki/CUDA).
This is only required if you want to run CARLsim in `GPU_MODE`.
- (optional) MATLAB R2014a or Octave. This is only required if you want to use the Offline Analysis Toolbox (OAT).
If the Prerequisites cannot be met consider using a former version like CARLsim 5 or CARLsim 4.
The latest release was tested on the following platforms:
- Linux: Ubuntu 20.04 LTS
- Windows: Windows 10 Professional, Windows 11 Education/Professional
- CUDA: 11.2, 11.4, 11.5, 11.7
- GPUs: Titan Xp, 1080ti, RTX 3090, A100