Robots and Physical Computing

Tinkercad and microbit neural network In a previous post I produced a single neuron based around microbits in Tickercad - see here . To extend this the basic ideas discussed in that the previous post where extended to three microbit joined together. In  other words a network of neurones or neural network. Basic requirements of a neuron are Requirements  - By altering the bias (or w0 in the example), weights change the behaviour of switches changes. -when switch is pressed a variable x1 or x2 is set to 1 depending on which button is pressed and when released it goes to 0.  - if (bias+w1*x1+w2*x2)>=0 then a T for True appears of the LEDs otherwise F for False is shown. So by selecting the weights and connecting the outputs (p2) from the microbits labelled as Red and Green in the image above as inputs to the yellow microbit 'neuron' we can form a neural network. Switches as the inputs and the screen on the yellow 'neuron' as the output of the network showing true (T) or...

This post is in response to a question from Carl Simmons ( @Activ8Thinking ) about has anyone built a microbit simple neuron. Quick Overview Inputs are going to be binary Weighted sum is bias+W1*input1+w2*input2 If weighted sum>=0 then the output is True (T on the LEDs) or '1' If weighted sum<0 then the output is False (F on the LEDs) or '0' First attempt - A simple gate using the buttons A and B So first attempt uses the A and B buttons on the Microbit as the two inputs and it produces T for true and F for false on the LEDs. So the weights produce an AND if the bias is changed from -2 to -1 you get an OR. More Physical Solution for Single Neuron So in this case the buttons are removed and P0 and P1 formed the inputs the weights are the same as in the previous example with the bias of -2 being used to produce a AND gate. Programming-wise this is a simpler solution than the previous one, no converting button presses into inputs. ...