AERIS-10 is an open-source hardware, “low-cost” (more on that later) 10.5 GHz phased array radar system featuring Pulse Linear Frequency Modulated (LFM) modulation and based on an AMD Artix-7 FPGA.

An OpenAI Gym environment based on PyBullet for learning to control the CrazyFlie quadrotor: Can be used for Reinforcement Learning (check out the examples!) or Model Predictive Control We used this ...

Elecrow’s “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 processor, offering AI, multimedia, and embedded features in a single, ...

We present the development of a high-throughput, robotic GIWAXS platform for automated thin-film characterization at the ALS SAXS/WAXS beamline. The system features a UR5e robotic arm, a helium-purged ...

We leverage two complementary imaging modalities to capture neuronal activity in 3D brain tissues. Scanless light-field microscopy provides high speed and sensitivity, while two-photon scanning ...

Yes, you can program Arduino with Python using the PyFirmata library. While Arduino traditionally uses C++ code, Python can control Arduino boards through the Firmata protocol, allowing you to ...

The gray mouse lemur (Microcebus murinus) represents a promising model for neuroscience research, offering insights into brain structure and function due to its genetic and evolutionary proximity to ...

Motor Imagery-based Brain-Computer Interfaces (MI-BCIs) enable their users to interact with digital technologies, such as computer programs or prosthesis, by performing motor imagery tasks only, e.g., ...

The dynamical properties of the brain and the dynamics of the body strongly influence one another. Their interaction generates complex adaptive behavior. While a wide variety of simulation tools exist ...

Whether you’re a beginner or an experienced hobbyist, Raspberry Pi projects offer a diverse range of applications, from educational ventures to smart home automation and everything in between. In this ...

Reinforcement learning (RL) has become a popular paradigm for modeling animal behavior, analyzing neuronal representations, and studying their emergence during learning. This development has been ...