The GSN SNN 4−10−30−2 is a hardware based spiking neural network that can autonomous control a remote control robot vehicle. There are 10 artificial neurons and 30 artificial synapses, and is built on 16 full-size breadboards. Four infrared proximity sensor are used on top of the vehicle to determine how far it is away from objects and walls. The sensor data is used as inputs into the first later of neurons.

A full circuit level diagram of the neural network is provided, as well as an architecture diagram. The weights on the network are set based on the resistance value. The synapses allow the weights to be set as excitatory or inhibitory.

Testing of the network went great and the robot had much smoother control than previous testing as the output now has an analog output.

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Full Parts List.
Quality Breadboards (20 Breadboards Used)
https://amzn.to/4iw1MVG
2N2222 Transistors (128 Transistors)
https://amzn.to/41Nqg5H
Breadboard 22 Gauge Wire (Around 2 packs)
https://amzn.to/4iK1gnj.
LEDs (1 Set) https://amzn.to/4izng4c.
Resistors 2K 1/4 Watt Metal Film Type (Around 20)
https://amzn.to/4kPbp3m Resistors.
Other Resistors (1-Pack Around 100)
https://amzn.to/4hxJbY2
Ceramic Capacitors (1 Set)
https://amzn.to/4iT36ln.
Electrolytic Capacitors(1 set)
https://amzn.to/4bZwLak.
10000mAh Rechargeable Battery Pack.
https://amzn.to/41WFoxQ
Op-amps (10)
ESP32 Microcontroller.
https://amzn.to/4eYaCKJ
2N7000 MOSFETTransistors (Around 30)
https://amzn.to/412jut0
200 MHz Digital Oscilloscope.
https://amzn.to/3Gy35Wz.
Infrared Proximity Sensor 20–150 cm detection range.
https://amzn.to/3GIBVwb.
I used the frame and motors from this kit.
https://amzn.to/49kpceL