tutorials:start
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tutorials:start [2015/01/23 22:03] – zenke | tutorials:start [2018/05/30 07:20] – Changes list zenke | ||
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- | ====== | + | ====== Tutorials ====== |
- | Auryn is written in a modular way which easily allows | + | The following tutorials provide |
+ | * [[Tutorial 1]]: Simulate a single AdEx neuron and record spikes and membrane potentials. | ||
+ | * [[Tutorial 2]]: Build the Vogels & Abbott balanced network model. | ||
+ | * [[Tutorial 3]]: Create and simulate a network model with inhibitory plasticity. | ||
+ | * [[Tutorial 4]]: [[SuperSpike]]: | ||
- | ===== Synapse and Plasticity Models ===== | ||
- | [[Writing your own plasticity model]]. This is a simple walk-through for the logic behind plastic updates and what methods are called where and when. It sketches in simple terms what needs to be done to implement a new custom synapse model in Auryn. | ||
- | [[Multiple synaptic state variables]]. This example aims at creating a plastic connection object in which the the actual weight change is the low-pass filtered output of meta-variable which is influenced by STDP. | + | ===== Advanced techniques: Extending |
+ | As you have seen Auryn already comes with a variety of neuronal and synaptic plasticity models as well as devices to interact with and to record from your network simulations (see [[manual: | ||
- | ===== Neuron Models ===== | + | * [[Writing your own plasticity model]]. This is a simple walk-through for the logic behind plastic updates and what methods are called where and when. It sketches in simple terms what needs to be done to implement a new custom synapse model in Auryn. |
- | + | * [[Multiple synaptic state variables]]. This example aims at creating a plastic connection object in which the the actual weight change is the low-pass filtered output of meta-variable which is influenced by STDP. | |
- | Coming soon. | + | |
tutorials/start.txt · Last modified: 2018/05/30 07:21 by zenke