Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation

Understand

The timing of individual neuronal spikes is essential for biological brains to make fast responses to sensory stimuli.

• However, conventional artificial neural networks lack the intrinsic temporal coding ability present in biological networks.
• We propose a spiking neural network model that encodes information in the relative timing of individual neuron spikes.
• In classification tasks, the output of the network is indicated by the first neuron to spike in the output layer.