Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)

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Accession:190565
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.
Reference:
1 . Nicola W, Clopath C (2016) Supervised Learning in Spiking Neural Networks with FORCE Training arXiv preprint arXiv:1609.02545.
2 . Nicola W, Clopath C (2017) Supervised learning in spiking neural networks with FORCE training Nature Communications
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Model Information (Click on a link to find other models with that property)
Model Type: Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s): Abstract Izhikevich neuron; Abstract theta neuron; Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s):
Implementer(s): Nicola, Wilten [wnicola at uwaterloo.ca];
 
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NicolaClopath2017
CODE FOR FIGURE 5 (USER SUPPLIED SUPERVISOR)
IZFORCEMOVIE.m
                            
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