Inlay

Pra ir fechando a semana com uma boa notícia. A #preprint do beehive está online! preprints.scielo.org/index.php/sc... Uma plataforma simples de eletrônica para o desenvolvimento de equipamentos de laboratório e para o ensino de programação. #cienciabr #neuroskyence #openhardware

Na #fesbe vamos realizar um curso de @bonsai-rx.org. Se você faz pesquisa no Brasil e usa o Bonsai, pfv me mande uma mensagem! Queremos saber um pouco sobre como foi a implementação, benefícios e problemas de implementar o sistema no seu projeto/lab! #ciênciabrasil #comportamento #neurociência

(2/2) 🖼️ Graphic art by Stephen Keller 🔤 Content by Gabriel Costa, Luisa Pimentel, and André Maia Chagas! 👀 For more, access our website: open-neuroscience.com/en/ 🖇️ Connect with us on LinkedIn: www.linkedin.com/company/open... ✍ Contact us at: [email protected] #OpenSource #Neuroscience

For a @bonsai-rx.org short course that will be run at #Fesbe 2026 we are looking for researchers based in Brazil that have been using Bonsai! We want to chat about use cases, benefits and painpoints while implementing it. DM me! #ciênciabrasil #opensoftware #openscience #behaviour

(1/2) Hello, fellow Open Neuroscience enthusiasts! Happy New Year! 🎉 💡 It's been a while, but for a good reason! 💪 Our team has been working hard to bring you even more engaging and interesting content on social media! :) 😍 We hope you enjoy our new posts. Let us know what you think! #OpenScience

Poach us please! We have a successful project, the Mothbox, used by dozens of researchers, being invited to workshops give keynotes around the world! But not enough people realize: A) we are out of $$$ + mostly volunteering b) YOUR group can claim the Mothbox by just hiring us to keep working!

In this manuscript we present BeeHive, a standardized, open-source hardware electronics ecosystem designed to address challenges faced by researchers when developing custom scientific equipment. Beehive is flexible and interoperable, since it is organised around minimal design rules. It consists of a microcontroller-based mainboard and function-specific Daughter Boards (DBs) for controlling actuators or reading sensors, allowing researchers to rapidly combine and repurpose components to build complex, specialized systems. This modular approach significantly reduces the time and cost associated with instrumentation development, promoting effective collaboration through shared, standardized solutions. The platform's versatility is demonstrated across several neuroscience applications, including a reward delivery system for head-fixed mice, a modular mouse maze, and an odour stimulator, alongside a dedicated Training DB and curriculum designed to teach electronics and MicroPython programming in an integrated, project-based manner. By embracing open-source principles for hardware and software, BeeHive lowers the barrier to entry for researchers in developing their own setups, fostering greater accessibility, reproducibility, and innovation. The system is also discipline agnostic, and could be used to create tools in different fields.