Wondering what a spiking neural network is?, page-2

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    Great post Interloping!

    I don't know if this will be of much use to everyone but here goes.

    You can more or less think of all neural networks as a fitting curve. If you have ever used the trendline function in excel then you have more or less performed a very basic version of machine learning.

    As an example, in a parabolic equation you have 3 constants a,b,c which can be tweaked to get the best fit. y= ax^2 + bx + c

    Neural networks just take this to many, many, many constants by having an equation at each node within a layer, which receives values from the nodes from the previous layer. Because there are so many layers it would be impossible for a human to complete it, and as such they are more or less like black boxes at a node to node level, but the general principle is pretty simple.

    Lets say you have a 3 layer each with 3 nodes (this would be more or less useless but good for an example), I've cut off the final 3rd layer

    https://hotcopper.com.au/data/attachments/1656/1656308-7921663726e19baa0667a145a57b168d.jpg


    so nodes 1,1 1,2 and 1,3 get an input and apply a function with coefficients, in this case lets use the most basic a linear line (this is never used in truth but it makes the explanation easier) and let's track to the node 2,1 in the second layer.

    1,1 calculates a1,1x1 + b1,1, 1,2 calculates a1,2x1 + b1,2, and 1,3 calculates a1,3x1 + b1,3

    Each of these pass their calculated values on to each node in the next layer which then use these values as their various x input with their own new a and b coefficients. When someone trains a network it is more or less taking this infrastructure and optimizing all the millions of a and b values (typically by finding minima in applying chain derivatives all the way along the network) across all the nodes so that a particular set of values is equated to a particular thing, so in essence it is just curve fitting in many many many domains.

    In spiking neural networks you can just think of the ax + b as a formula for the potential.

    Note that the above is incredibly simplified, but it's generally how it all works.
 
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