Event-based Spike-Timing-Dependent Plasticity (Tavanaei et al.; 2018)

In this exhibit, we create, simulate, and visualize the internally acquired receptive fields of the spiking neural network (SNN) trained via event-based spike-timing-dependent plasticity (EV-STDP) over image patches. This reproduces the SNN model originally proposed in (Tavanaei et al., 2018) [1].

The model code for this exhibit can be found here.

References

[1] Tavanaei, Amirhossein, Timothée Masquelier, and Anthony Maida. “Representation learning using event-based STDP.” Neural Networks 105 (2018): 294-303.