examples:start
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examples:start [2016/01/29 18:17] – [From Published Work] zenke | examples:start [2017/11/23 09:40] – [Published work using Auryn] Adds superspike paper zenke | ||
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To get started you should have a look at a few examples written with Auryn. The following simulations come with Auryn when downloaded and can be found in the '' | To get started you should have a look at a few examples written with Auryn. The following simulations come with Auryn when downloaded and can be found in the '' | ||
- | You can build all examples by issuing '' | + | Starting |
- | ===== First Steps ===== | + | |
+ | ==== Simple examples --- First Steps ==== | ||
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+ | These are very simple network models which can be easily understood and modified to get a first impression of how Auryn simulations are built. | ||
* [[sim_poisson]] This example is //Hello world// in Auryn. It shows you how to create a simple [[manual: | * [[sim_poisson]] This example is //Hello world// in Auryn. It shows you how to create a simple [[manual: | ||
* [[sim_epsp]] Another rather simple simulation illustrating the recording of voltage or conductance traces from a single neuron. | * [[sim_epsp]] Another rather simple simulation illustrating the recording of voltage or conductance traces from a single neuron. | ||
* [[sim_epsp_stp]] A variation of the previous example, but using [[manual: | * [[sim_epsp_stp]] A variation of the previous example, but using [[manual: | ||
- | + | * [[sim_step_current]] Simulates step current input to a neuron (in this particular example to the Izhikevich model) | |
- | ===== From Published Work ===== | + | |
+ | ==== Example code included with Auryn | ||
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+ | These examples come with Auryn in the /examples directory. | ||
* [[sim_coba_benchmark]] The Vogels and Abbott network [1] in its 4000 neuron conductance based synapses version as used in [7,8]. | * [[sim_coba_benchmark]] The Vogels and Abbott network [1] in its 4000 neuron conductance based synapses version as used in [7,8]. | ||
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* [[sim_dense]] simulates a 25,000 neuron network with non-plastic connectivity of 10% which receives modulated external Poisson input. Similar to what we used in [4]. | * [[sim_dense]] simulates a 25,000 neuron network with non-plastic connectivity of 10% which receives modulated external Poisson input. Similar to what we used in [4]. | ||
* [[sim_brunel2k]] and [[sim_brunel2k_pl]] Adapted from the Brunel balanced network [5] following the lines of [6] with and without STDP. We used these simulations for comparison with NEST in [8]. | * [[sim_brunel2k]] and [[sim_brunel2k_pl]] Adapted from the Brunel balanced network [5] following the lines of [6] with and without STDP. We used these simulations for comparison with NEST in [8]. | ||
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+ | ===== Published work using Auryn ===== | ||
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+ | The code for these works can be found in separate repositories, | ||
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+ | * Zenke, F., and Gerstner, W. (2017). Hebbian plasticity requires compensatory processes on multiple timescales. Phil. Trans. R. Soc. B 372, 20160259. [[http:// | ||
+ | * Neftci, E., Augustine, C., Paul, S., and Detorakis, G. (2016). Neuromorphic Deep Learning Machines. arXiv: | ||
+ | * Neftci, E.O., Pedroni, B.U., Joshi, S., Al-Shedivat, | ||
+ | * Zenke, F., Agnes, E.J., and Gerstner, W. (2015). | ||
+ | * Ziegler, L., Zenke, F., Kastner, D.B., and Gerstner, W. (2015). Synaptic Consolidation: | ||
+ | * Zenke, F., and Gerstner, W. (2014). Limits to high-speed simulations of spiking neural networks using general-purpose computers. [[http:// | ||
+ | * Zenke, F., Hennequin, G., and Gerstner, W. (2013). Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector. [[http:// | ||
+ | * Vogels, T.P., Sprekeler, H., Zenke, F., Clopath, C., and Gerstner, W. (2011). Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks. [[http:// | ||
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==== Bibliography ==== | ==== Bibliography ==== | ||
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[8] Zenke, F. and Gerstner, W., 2014. Limits to high-speed simulations of spiking neural networks using general-purpose computers. Front Neuroinform 8, 76. doi: [[http:// | [8] Zenke, F. and Gerstner, W., 2014. Limits to high-speed simulations of spiking neural networks using general-purpose computers. Front Neuroinform 8, 76. doi: [[http:// | ||
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- | ====== Other work using Auryn ====== | ||
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- | * Neftci, E.O., Pedroni, B.U., Joshi, S., Al-Shedivat, | ||
- | * Zenke, F., Agnes, E.J., and Gerstner, W. (2015). Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks. [[http:// | ||
- | * Ziegler, L., Zenke, F., Kastner, D.B., and Gerstner, W. (2015). Synaptic Consolidation: | ||
examples/start.txt · Last modified: 2018/06/03 13:05 by zenke