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Config files for the paper "Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks" (ICONS'24)

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ICONS Paper Details

This repository contains the implementation details for the paper "Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks" submitted to the ICONS proceedings (International Conference on Neural Systems).

  • Neuron Models: The neuron and synapse models used in this paper can be found in the nestml_models directory. Each model is implemented as a separate file and includes the necessary code for simulating the behavior of the neurons in nestml.
  • Simulation Configurations: The configuration files for all the simulations conducted in this paper can be found in the configs directory. Each configuration file specifies the parameters and settings used for a particular simulation.

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Config files for the paper "Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks" (ICONS'24)

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