Open-Source
Operant Conditioning Technologies

Affordable, open-source operant conditioning chambers designed for use in natural habitats across many animal species

Two Open-Source Operant Conditioning Technologies

Open-source apparatuses that you can build yourself to enable comparative cognition
research in an animal’s natural habitat

AI Pet Feeder

  • AI-enabled computer vision approach using an NVIDIA Orin Nano hacked into a consumer pet feeder
  • Algorithm trained using YOLO object detection algorithms on YouTube videos of the animal of interest.
  • Cost: $500 with 2 hours of assembly

Operant Conditioning Chamber

First Goal of Outdoor Operant Conditioning Chamber

Build your own operant conditioning chamber:

  • Replicating a study with rats in a lab setting. $250 in parts and 10 hours of labor
  • Have yet to achieve this! New frontier of knowledge!

Representational Reasoning

Testing whether squirrels can imagine hidden information and make decisions based on what might be there

Natural Habitat

Non-invasive research conducted in the animals' natural environment with simple, accessible equipment

Citizen Science

Methods designed for researchers, students, and wildlife enthusiasts to participate in cognitive studies

First Use Case

Squirrel Cognition Research

Studying logical reasoning and problem-solving abilities in wild squirrels using our operant
conditioning chambers

The Science: How the Experiment Works

A simple yet powerful test of animal cognition, adapted from rat studies to understand
whether squirrels can imagine hidden information

Operant Conditioning

Squirrels learn through reinforcement: press the lever when the right cues appear (light + sound together), and receive food rewards.

The Covered Cue Test

By covering the light during testing, we reveal whether squirrels make decisions based on visible information alone, or if they imagine what might be hidden.

Representational Reasoning

This experiment tests whether squirrels form mental representations—imagining that a hidden light might still be on, even when they can't see it.

Citizen Science Approach

The experiment uses simple, affordable equipment (Arduino/Raspberry Pi, LED, speaker) making it accessible for researchers, students, and enthusiasts.

Help Study Squirrels

If you are a squirrel-loving person and want to contribute to on-going scientific research you can do in a backyard please click here to learn more.

Can Squirrels Imagine What They Can't See?

Our research explores a fascinating question: when information is hidden from view, do squirrels behave as if they’re imagining what might be there? This “covered cue” experiment tests whether squirrels possess representational reasoning—the ability to form mental images of hidden objects and events.

Using a simple operant conditioning setup with a lever, light, sound, and food rewards, we teach squirrels that a light + sound combination predicts food. Then, we test what happens when the light is covered: Do they act as if the hidden light might still be on?

This experiment, adapted from similar studies with rats, uses accessible equipment suitable for citizen scientists and field researchers. Our goal is to understand the cognitive capabilities of wild squirrels while making this type of research accessible to a broader community.

How it Works.

We are working with squirrels in the wild to replicate a classical logical fallacy first identified in humans and then later recently replicated with rats in a lab.

We are working with A conjunction effect or Linda problem is a bias or mistake in reasoning where adding extra details (an “and” statement or logical conjunction; mathematical shorthand: ∧ ) to a sentence makes it appear more likely.[1] Logically, this is not possible, because adding more claims can make a true statement false, but cannot make false statements true: If A is true, then A ∧ B might be false (if B is false). However, if A is false, then A ∧ B will always be false, regardless of what B is. Therefore, A ∧ B cannot be more likely than A


Instead of language as was used in the human studies, simple light and sound cues, a tiny occluder, and careful observation are the ways we work with the squirrels.

About the Project

This is a work-in-progress field study run by Oomvelt. We are adapting this previous UCLA lab experiment that revealed a human-like logical fallacy in rats to using it with squirrels in natural settings.

The goal: a clear, repeatable way to compare logical reasoning across species using low-cost, open hardware.

Ethics

Creating food and water sources for animals can have unintended effects and consequences even with the most wonderful of intentions. Please refer to your state and federal naturalist societies for best practices and codes of ethics around creating human-provided food and water sources for wildlife observation and studies.

See the Research in Action

Watch squirrels interact with our operant conditioning chambers and solve cognitive challenges
in real-time

This video demonstrates a squirrel interacting with our testing apparatus. Watch as the subject learns the association between cues and rewards, demonstrating the cognitive abilities that make the covered cue experiment possible.

Step-by-step logic study breakdown

Overview of the Training and Testing Schedule

representational-reasoning
01
Phase 1. Lever Training

Day 1: Each time the squirrel presses the lever, immediately deliver one food pellet. Continue until the squirrel learns to press consistently.

Day 2: Switch to a partial reward schedule — for example, give food only about once every four presses. This keeps the squirrel motivated to press the lever even when food isn’t guaranteed.

representational-reasoning
02
Phase 2. Cue Training

Now the squirrel will learn when pressing the lever earns food and when it doesn’t. You’ll use one sound and one light. Each daily session should last around 45–60 minutes, with about 30 trials spaced by 1–2 minutes of rest.

representational-reasoning
03
Phase 3. Testing

Now you’ll test whether the squirrel behaves differently when the light is covered versus visible but off.

Each squirrel will complete two test sessions on separate days:
• Day 1: The light is visible (uncovered) but stays off the entire session.
• Day 2: The light is completely covered so that the squirrel can’t see it, even if it might be on. During each test session:
• Present 8 sound trials (sound plays for 30 seconds, no rewards given).
• Separate each trial by about 2 minutes.
• Record how often the squirrel presses the lever during and before each sound.

Contributors

Andrew McGregor

Researcher, writer, and artist

Nicolas Hadacek

PhD in physics, software engineer and artist. He builds mechatronic systems for art and for science.

Oliver Libaw

Oliver has worked in AI for the past seven years, first at Meta and currently at FuriosaAI.

Dr. Aaron Blaisdell

A UCLA Psychology Professor and Chair of Behavioral Neuroscience.

Infographic

How to do a study with squirrels in your area using our open-source operant conditioning chamber
you can build yourself!

Future Research

Our plans and goals for future research

This study explores how squirrels make decisions when some information is hidden — for example, when a light that usually signals food is covered up. We want to find out whether squirrels behave as if they are imagining that the hidden light might still be on, even when they can’t see it. This experiment adapts a similar study originally done with rats, using simpler equipment suitable for citizen scientists.

News

We presented a talk titled “Porting Open-Source Operant Conditioning Technologies to Natural Settings” and gave a demo of our open-source operant conditioning technologies at the 2025 Biennial Meeting for the International Society for Comparative Cognition in Bogotá

Stay Connected

Sign Up now by providing your email and stay updated with our research content.

Collaborate With Us

Interested in research collaboration, hosting equipment, or learning more? Let’s talk.