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cc18:winner-take-all-behavior-in-continuous-rate-based-and-discrete-spiking-systems:overview [2018/04/06 10:49]
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cc18:winner-take-all-behavior-in-continuous-rate-based-and-discrete-spiking-systems:overview [2020/01/09 20:31] (current)
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   * spiking neural networks (discrete, spiking) simulated in software   * spiking neural networks (discrete, spiking) simulated in software
   * and spiking neural networks emulated on neuromorphic hardware.   * and spiking neural networks emulated on neuromorphic hardware.
-Of particular interest are the role of neuronal noise, mismatch, spontaneous activity, refractory period, synaptic delays and spike timing. Optionally it might be interesting to explore the role of plasticity.+Of particular interest are the role of neuronal noise, mismatch, spontaneous activity, refractory period, synaptic delays and spike timing. 
 +Also network size and network architecture including excitatory and inhibitory connectivity kernels should be considered. 
 + Optionally it might be interesting to explore the role of plasticity.
 Work will be done with matlab (cosivina), python based brian2 and neuromorphic chips (dynap-se). For simulations,​ we will make use of a python package based on Brian2 that has been developed during the last months and the chip equations. Depending on the background of the participants,​ the project can go in a more theoretical (mathematical) or more in a more simulation based direction. Work will be done with matlab (cosivina), python based brian2 and neuromorphic chips (dynap-se). For simulations,​ we will make use of a python package based on Brian2 that has been developed during the last months and the chip equations. Depending on the background of the participants,​ the project can go in a more theoretical (mathematical) or more in a more simulation based direction.
-The result of the workshop could be a review paper. 
  
 +There will be an educational and a research component of the workshop. As a main side-effect,​ we will also get a better understanding and intuition of what kinds of computation can be done with WTA.
 +One important result of the workshop will be a tutorial and recipes on how to implement WTA on chip and in spiking networks.
  
-==== Literature ====+ 
 +==== Literature ​(please add)==== 
 +== Publications mentioned in the special session on 02.05. == 
 +Binzegger, T., Douglas, R. J., & Martin, K. A. (2004). A quantitative map of the circuit of cat primary visual cortex. Journal of Neuroscience,​ 24(39), 8441-8453. 
 + 
 +Hahnloser, R., Douglas, R. J., Mahowald, M., & Hepp, K. (1999). Feedback interactions between neuronal pointers and maps for attentional processing. Nature neuroscience,​ 2(8), 746. 
 + 
 == Books == == Books ==
 Coombes, S., beim Graben, P., Potthast, R., & Wright, J. (Eds.). (2014). Neural fields: theory and applications. Springer. Coombes, S., beim Graben, P., Potthast, R., & Wright, J. (Eds.). (2014). Neural fields: theory and applications. Springer.
 +
 Schöner, G., & Spencer, J. (2015). Dynamic thinking: A primer on dynamic field theory. Oxford University Press. Schöner, G., & Spencer, J. (2015). Dynamic thinking: A primer on dynamic field theory. Oxford University Press.
 == WTA in general == == WTA in general ==
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 Maass, W. (2000). On the computational power of winner-take-all. Neural computation,​ 12(11),​ 2519-2535. Maass, W. (2000). On the computational power of winner-take-all. Neural computation,​ 12(11),​ 2519-2535.
 +
 +== Stability ==
 +Rutishauser,​ U., Douglas, R. J., & Slotine, J. J. (2011). Collective stability of networks of winner-take-all circuits. Neural computation,​ 23(3), 735-773.
 +
 == Optimization == == Optimization ==
 Quinton, J. C. (2010, July). Exploring and optimizing dynamic neural fields parameters using genetic algorithms. In Neural Networks (IJCNN), The 2010 International Joint Conference on(pp. 1-7). IEEE. Quinton, J. C. (2010, July). Exploring and optimizing dynamic neural fields parameters using genetic algorithms. In Neural Networks (IJCNN), The 2010 International Joint Conference on(pp. 1-7). IEEE.
cc18/winner-take-all-behavior-in-continuous-rate-based-and-discrete-spiking-systems/overview.1523011743.txt.gz · Last modified: 2020/01/09 20:31 (external edit)