The code contained in the zip file runs FORCE training for various examples from the paper: Figure 2 (Oscillators and Chaotic Attractor) Figure 3 (Ode to Joy) Figure 4 (Song Bird Example) Figure 5 (Movie Example) Supplementary Figures 10-12 (Classifier) Supplementary Ode to Joy Example Supplementary Figure 2 (Oscillator Panel) Supplementary Figure 17 (Long Ode to Joy) Note that due to file size limitations, the supervisors for Figures 4/5 are not included. See Nicola, W., & Clopath, C. (2016). Supervised Learning in Spiking Neural Networks with FORCE Training. arXiv preprint arXiv:1609.02545. for further details.
Model Type: Connectionist Network
Cell Type(s): Abstract Izhikevich neuron; Abstract theta neuron; Abstract integrate-and-fire leaky neuron
Simulation Environment: MATLAB
Implementer(s): Nicola, Wilten [wnicola at uwaterloo.ca]
References:
Clopath C, Nicola W. (2016). Supervised Learning in Spiking Neural Networks with FORCE Training arXiv preprint arXiv:1609.02545..
Nicola W, Clopath C. (2017). Supervised learning in spiking neural networks with FORCE training Nature Communications.