Modification of the conditioned emotional response in animals living in a 60-Hz electrical field: https://link.springer.com/content/pdf/10.3758%2FBF03333883.pdf #BCI #Biology #SE
"Human Mind Control of Rat Cyborg’s Continuous Locomotion with Wireless Brain-to-Brain Interface" https://www.nature.com/articles/s41598-018-36885-0 #BCI
Towards reconstructing intelligible speech from the human auditory cortex:
https://www.nature.com/articles/s41598-018-37359-z #NeuroScience #BCI
DARPA’s RadioBio and Recent US Bioelectromagnetic Research Programs:
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8572605 #BCI #NeuroScience
"Brain-computer interface enables people with paralysis to control tablet devices": https://www.sciencedaily.com/releases/2018/11/181121142420.htm #NeuroScience #BCI
"Users reported it felt “more natural” than using a mouse.. type up to 8 words per min via thoughts alone"
The EEGsynth is an open-source Python codebase that provides a real-time interface between devices for electrophysiological recordings (e.g. EEG, EMG and ECG) and analogue and digital devices (e.g. MIDI, games and analogue synthesizers). This allows one to use electrical brain/body activity to flexibly control devices in real-time, for what are called (re)active and passive brain-computer-interfaces (BCIs), biofeedback and neurofeedback.
Wearable MRI scanner: http://www.wcax.com/content/news/British-scientists.. #BCI
AI-controlled brain implants for mood disorders tested in people: "Researchers funded by the US military are developing appliances to record neural activity and automatically stimulate the brain to treat mental illness." #BCI https://www.nature.com/news/ai-controlled-brain-implants-for-mood-disorders-tested-in-people-1.23031
First Foray into Neuroscience - Deep Image Reconstruction from Human brain activity:
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century: #BCI
People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain–computer interfaces (BCIs) with the goals ranging from providing means of communication to functional rehabilitation.