Spiking Neuralnet (SNN) vs ANN: Event-based Instead of Feed-based

SNN is more active instead of passive compared to ANN. SNN can work in both modes: Feed & self-thinking (from a point in neuralnet); whi...

04 July, 2025

Input Values vs Input Layers in Neuralnet (ANN)

Classically the input values to a neuralnet is counted as Input Layer, although it is not with neurons. Beginners usually are confused about this. It should be called 'Inputs' instead of 'Input Layer' but it is classical and commonly used from the early days of ANN, so the term is still there.

Although, it should be called 'Inputs' instead of Layer in ANN, but in SNN (Spiking Neural Network) it can still be layer in this sense:
  • Input Layer: Sensory cells
  • Hidden Layers: Neurons
  • Output Layers: Neurons
  • Action after output: Motory cells
Better diagram of the ANN (use the word 'layer' only if with neurons):

Classically and commonly used:


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