Description
Introduction
This is about starting a discussion to give neuron visualisation more importance than data visualisation.
Background
There are lot of tools and techniques available to visualise a trained network, trained model etc but there are no good visualisation technique for neuron itself.
Concept
A neuron is a reflection of space and time that is sensed by us, and most importantly we visually see it. In case of artificial neural network we cannot visually represent the neuron (If there is a technique let me know).
Need for visual representation
Human intelligence works because the neurons can learn sense other neurons (electrically - via impulse) and visually (atopsy) and artificial neural network lacks that.
By visually able to represent a neuron, it opens up lot other learning models that can stitch itself.
Example
Below example uses t-SNE technique to visualise the data set
Below tool helps to visualise the transformations on data
Expected outcome
Below is a simulation of an impulse in a neuron.
Question
How to build or figure out a technique to have a visual model where a neuron is represented in terms of space and the data represented in terms of light.