CARLsim
5.0.0
CARLsim: a GPU-accelerated SNN simulator
Main Page
User Guide
1. Getting Started
2. Basic Concepts
3. Neurons, Synapses, and Groups
4. Connections
5. Synaptic Plasticity
6. Input
7. Monitoring
8. Saving and Loading
9. MATLAB Offline Analysis Toolbox (OAT)
10. ECJ
11. Regression Suite
12. Advanced Topics
13. pyCARL
Tutorial
1. Basic Concepts
2. 80-20 Random Spiking Network
3. Plasticity
4. Image Processing
5. Motion Energy
6. Simple Weight Tuner
7. Parameter Tuning Interface (PTI)
8. Multi-Compartment Models
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- m -
MAJOR_VERSION :
SNN
max :
RangeDelay
,
RangeWeight
maxDelay :
ConnectConfig_s
,
GlobalNetworkConfig_s
MaxDelay :
GroupConfigRT_s
maxDelay :
NetworkConfigRT_s
maxNumPostSynN :
NetworkConfigRT_s
maxNumPreSynN :
NetworkConfigRT_s
maxOutgoingDelay :
GroupConfigMD_s
maxRmem :
RangeRmem
maxSpikesD1 :
NetworkConfigRT_s
maxSpikesD2 :
NetworkConfigRT_s
maxSynWt :
RuntimeData_s
maxWt :
ConnectConfig_s
,
ConnectionInfo_s
memType :
RuntimeData_s
min :
RangeDelay
,
RangeWeight
minDelay :
ConnectConfig_s
MINOR_VERSION :
SNN
minRmem :
RangeRmem
minWt :
ConnectConfig_s
mulSynFast :
ConnectConfig_s
,
ConnectConfigRT_s
mulSynSlow :
ConnectConfig_s
,
ConnectConfigRT_s
Generated on Sun Jul 19 2020 14:56:45 for CARLsim by
1.8.18
1.8.18 
