Volume Renderer for use with MATLAB® extends MATLAB® by a GPU-accelerated volume render command that handles 3D volumetric data. The core application is implemented in C/C++. To guarantee fast ...

NEST decodes EEG brain signals recorded during reading into natural language text. It uses pre-processed frequency-domain EEG features from the ZuCo corpus and a Transformer + BART architecture to ...

Following the success of our coding workshop series, we are excited to bring back our MATLAB workshop this year! 🥳 This session is designed to be beginner-friendly, using biomedical engineering ...

The Cerelog ESP-EEG is an 8-channel, low-cost brain computer interface (BCI) circuit board built around the ESP32 MCU and designed for EEG data acquisition. The board supports 8-channel, 24-bit EEG ...

This study introduces the first hybrid brain-computer interface dataset specifically designed for research on intracerebral hemorrhage (ICH) rehabilitation. It offers a novel data source through the ...

Brain-Computer Interfaces and especially passive Brain-Computer interfaces (pBCI), with their ability to estimate and monitor user mental states, are receiving increasing attention from both the ...

Recording technologies for rodents have seen huge advances in the last decade, allowing users to sample thousands of neurons simultaneously from multiple brain regions. This has prompted the need for ...

Brain-computer interfaces (BCIs) are communication bridges between a human brain and external world, enabling humans to interact with their environment without muscle intervention. Their functionality ...

This paper reports on a benchmark dataset acquired with a brain–computer interface (BCI) system based on the rapid serial visual presentation (RSVP) paradigm. The dataset consists of 64-channel ...

Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing and disparate experimental datasets at multiple scales. The NetPyNE tool (www.netpyne.org) provides both ...