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Resource Name
CARLsim: a GPU-accelerated SNN Simulator
RRID:SCR_014095 RRID Copied      
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CARLsim: a GPU-accelerated SNN Simulator (RRID:SCR_014095)
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Resource Information

URL: http://www.nitrc.org/projects/carlsim/

Proper Citation: CARLsim: a GPU-accelerated SNN Simulator (RRID:SCR_014095)

Description: A 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.

Synonyms: CARLsim

Resource Type: software resource, simulation software, software application

Keywords: simulation software, snn model, gpu accelerated, library, izhikevich spiking neuron, graphics processor, stdp, data parallelism

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