CARLsim Survey

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CARLsim Survey

CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating spiking neural network (SNN) models with a high degree of biological detail. Originating in 2009, CARLsim is now on its 6th major release. CARLsim supports CPU and GPU simulations ranging from small networks to networks with hundreds of thousands of neurons with millions of synaptic connections. It is supported on Linux, MacOS, and Windows. The software framework is open-source and freely available. More information can be found at:

https://sites.socsci.uci.edu/~jkrichma/CARLsim/

This survey is intended for anyone who has used the CARLsim spiking neural network simulator, or who might like to use CARLsim in the future. It will help the CARLsim team develop future versions on the software framework. We appreciate your input and feedback.

Email *

Name *

Affiliation *

Preferred contact address (email, LinkedIn, etc)

1. What type of neural network research or projects do you work on or are interested in? *

2. Do you use or would you use spiking neural networks in your work? *

Yes

Maybe

3. What do you think are the barriers to incorporating spiking neural networks into your work? *

4. Have you used CARLsim for any projects? If yes, please answer questions 4a through 4d. If no, you can skip to question 5. *

Yes

4a. Please list any of your publications that used CARLsim for simulations or applications.

4b. What CARLsim features have you used?

4c. If you are a CARLsim user, what motivated you to choose it over other SNN simulation tools?

4d. Are you satisfied with the documentation available for CARLsim? If no or maybe, please answer question 4e.
*

Yes

Maybe

4e. What changes to the documentation would you like?

5. Whether or not you are a CARLsim user, what features would you like future versions to have? *

Create additional neural models besides LIF and Izhikevich neurons.

Create learning rules besides STP, STDP and neuromodulated STDP.

A graphical user interface for exploring the network structure and the neural activity.

Integration of YARP/ROS for robotics applications.

A database with examples and a repository for sample applications.

Make neuron models and learning rules extendible and pluggable by the user.

Other:

Required

6. Are you or have you been a CARLsim developer? If yes, please answer question 6a, otherwise you can skip to question 7. *

Yes

6a. If yes to the developer question, describe your contributions.

7. Please list any of your publications that refer to CARLsim. No need to repeat publications listed in the question 4a.

We will be forming a user group to discuss CARLsim's future plans. Would you like to be a member of this user group? *

Yes

Please let us know if you have other comments or suggestions.

Send me a copy of my responses.

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