Neuroscientists trained neurons that normally process visual input to control a computer-generated tone. Learn more, including Q&A with co-first author and PhD Program alum Ryan Neely. The Carmena Lab uses... read more →
New study in mice shows how the brain learns to reproduce patterns of brain activity that lead to reward; provides insights for treating addiction and obsessive-compulsive disorder. In a scientific... read more →
Neuroscientists have demonstrated the astounding flexibility of the brain by training neurons that normally process input from the eyes to develop new skills, in this case, to control a computer-generated... read more →
Artificial intelligence and brain–computer interfaces must respect and preserve people’s privacy, identity, agency and equality Consider the following scenario. A paralysed man participates in a clinical trial of a brain–computer... read more →
Value-based decision-making involves an assessment of the value of items available and the actions required to obtain them. The basal ganglia are highly implicated in action selection and goal-directed behavior,... read more →
Jose Carmena and Michel Maharbiz talk brain-machine interface with Marica Petrey of California Magazine. “I think that is where humanity is going, this blend of technology and flesh,” says Carmena.... read more →
Today the McKnight Endowment Fund for Neuroscience announced their selection of three research projects to receive $200,000 in funding, with the goal of “advancing the range of tools neuroscientists have... read more →
University of California, Berkeley engineers have built the first dust-sized, wireless sensors that can be implanted in the body, bringing closer the day when a Fitbit-like device could monitor internal... read more →
To control a computer cursor or robotic arm with our thoughts, our intended movements must be interpreted by a decoder. A decoder is a computational algorithm that transforms brain activity... read more →