Noisy Softplus: an activation function that enables SNNs to be trained as ANNs

31 Mar 2017 Qian Liu Yunhua Chen Steve Furber

We extended the work of proposed activation function, Noisy Softplus, to fit into training of layered up spiking neural networks (SNNs). Thus, any ANN employing Noisy Softplus neurons, even of deep architecture, can be trained simply by the traditional algorithm, for example Back Propagation (BP), and the trained weights can be directly used in the spiking version of the same network without any conversion... (read more)

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Softplus
Activation Functions