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Recipes

A recipe is a complete, documented build: which ingredients (boards) it uses, how to wire them, and the code to run them. Most recipes below come from real neuroscience labs, but BeeHive is discipline-agnostic — see Beyond neuroscience.

How to read a recipe

Every recipe follows the same shape:

  • Ingredients — the boards and other parts, with quantities and their role.
  • How it works — the setup and signal flow.
  • Wiring — how everything connects.
  • Code — a MicroPython (or C++) starting point.
  • Results / notes — what it achieves, caveats, and source links.

The Ingredients table links each board to its entry in the catalogue, so you can check specs and source schematics as you go.

The recipes

Recipe What it does Key ingredients
Head-fixed reward delivery Reward + lick detection for a head-fixed 2-photon rig mainboard, solenoid control board
Mouse maze Closed-loop modular maze with reward ports mainboard, IR sensor array, PCA9685
Odour stimulator Dual-channel olfactory stimulation, ms precision mainboard, Spike & Hold (2×)
LI-850 multiplexer Parallelise metabolic measurement across 6 chambers mainboard, solenoid control board (6×)
5-choice serial reaction time Classic attention/impulsivity paradigm, open hardware mainboard, IR sensor array
Mouse-wheel speed controller Motorised running wheel with clutch mainboard, stepper driver
OpenFlexure stage controller Standalone delta-stage controller with LCD mainboard, rotary encoders, LCD
Beyond neuroscience Incubators, heaters, and other fields various

Built something with BeeHive?

Recipes are community-contributed. See Write your own recipe to add yours.