Electroencephalography is a decades-old technique for capturing brain activity, data that are used to evaluate brain disorders. Beacon Biosignals is applying artificial intelligence to these tests, and the neurotechnology startup has found a ready market in pharmaceutical companies interested in assessing how their experimental brain therapies are working. Now Beacon Biosignals has something else: $27 million in financing. [Read more…] about Beacon Biosignals raises $27M to scale EEG, AI-based neurobiomarker discovery platform
As inquisitive beings, we are constantly questioning and quantifying the speed of various things. With a fair degree of accuracy, scientists have quantified the speed of light, the speed of sound, the speed at which the earth revolves around the sun, the speed at which hummingbirds beat their wings, the average speed of continental drift….
These values are all well-characterized. But what about the speed of thought? It’s a challenging question that’s not easily answerable – but we can give it a shot. [Read more…] about Five thoughts to think about when thinking about the speed of thought
Alphabet’s X (the Google-owner’s so-called “Moonshot Factory”) published a new blog post today about Project Amber, a project it’s been working on over the past three years — the results of which it’s now making available open source for the rest of the mental health research community to learn from, and hopefully build upon. [Read more…] about Alphabet’s X shares Amber EEG system to expand the quest for mental health biomarkers
Air Force Neurotechnology Partnership Aims to Accelerate Learning (Military Spot):
The Individualized Neural Learning System, or iNeuraLS, is a new augmented learning platform that will enable rapid learning by closed-loop modulation of cognitive states during skill acquisition. Essentially, the AFRL team seeks to develop a capability that will give Airmen the ability to rapidly acquire knowledge and skills on the fly through direct brain interfaces with the help of neurotechnologies…
Brain-wave pattern can identify people likely to respond to antidepressant, study finds (Stanford Medicine press release):
“A new method of interpreting brain activity could potentially be used in clinics to help determine the best treatment options for depression, according to a study led by researchers at the Stanford School of Medicine.
Stanford researchers and their collaborators used electroencephalography, a tool for monitoring electrical activity in the brain, and an algorithm to identify a brain-wave signature in [Read more…] about Machine-learning study finds EEG brain signatures that predict response to antidepressant treatments
Battling Addiction With Brainpower (University of Dayton press release):
“The University of Dayton Research Institute has won a $10,000 Ohio Opioid Technology Challenge award for a program that will teach people with opioid addictions how to reduce their cravings by regaining control of their brains.
“Using neurofeedback, we’ll work with our volunteers to help them learn to regulate activity in the part of their brain associated with cravings and rewire some of those pathways, allowing them to reduce their cravings and experience a more ‘normal’ state even without opioids.” [Read more…] about Ohio Opioid Technology Challenge funds program testing neurofeedback-based brain training to reduce cravings and battle opioid addiction