NeuroBytes v0.8 boards, front (L) and back (R). Each simulator is 54mm long and 30mm wide.

NeuroBytes are electronic neuron simulators designed to help students understand how the brain works. NeuroBytes are modular, meaning they can be freely connected to form complex neural networks. Each board includes an LED that indicates its current operating mode and excitation level, along with numerous connectors for interfacing with sensors, motors, and other NeuroBytes.

NeuroBytes accessories, L to R: 4xAA battery pack, inhibitory cable (blue), excitatory cable (red), mechanoreceptor (switch), servo with adapter, cable extender.

Accessories include battery packs, cables, switches, motors, and more. All NeuroBytes-ready products use the same 4-pin locking connector which provides power to the boards and transmits signals between devices.

A simple neural network, consisting of a battery pack, a mechanoreceptor, three NeuroBytes, a servo, and appropriate adapters and cables. Pressing the switch causes a neural signal to travel through the three NeuroBytes, eventually causing the servo to rotate.

Models created out of 3D printed bones, laser cut wood, or hand-trimmed cardboard can be used to give NeuroBytes a moving platform, allowing them to simulate muscles, reflexes, gaits, and more.

NeuroBytes Patellar Reflex Kit, used to demonstrate the four-neuron network that makes up the patellar reflex. Two servos are used to simulate the quadriceps and hamstring muscles. This prototype is built out of 3D printed parts, easily reproduced in any printer-equipped classroom.

NeuroBytes Patellar Reflex Kit, used to demonstrate the four-neuron network that makes up the patellar reflex. Two servos are used to simulate the quadriceps and hamstring muscles. This prototype is built out of 3D printed parts, easily reproduced in any printer-equipped classroom.

Gait development chassis driven by seventeen NeuroBytes v0.8 boards; eight 9g servos; eight springy feet with "shoes"; one 3D printed frame; and a bunch of wires. More info on this model here.