# Artificial Neuron Modelling Based on Wave Shape

arXiv: https://arxiv.org/abs/1403.1073 · HTML: https://mlsanity.com/paper/1403.1073/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Mar 2014.

## Built on by (most cited first, 1 of 1)

- [Exemplars can Reciprocate Principal Components](https://mlsanity.com/paper/2103.12069/) (2021)

## Abstract (arXiv)

This paper describes a new model for an artificial neural network processing unit or neuron. It is slightly different to a traditional feedforward network by the fact that it favours a mechanism of trying to match the wave-like 'shape' of the input with the shape of the output against specific value error corrections. The expectation is then that a best fit shape can be transposed into the desired output values more easily. This allows for notions of reinforcement through resonance and also the construction of synapses.