Browsing Category: Brain

CTRL-Labs acquired by Facebook for 500M – 1B

Congratulations to CTRL-Labs and Lux Capital on Facebook’s acquisition of the four year old Neurotech startup. The company, whose technology assists in decoding brain activity and intention, will join Facebook’s AR/VR team. CTRL-Labs participated in a recent ApplySci panel of startups at Stanford led by Lux Capital’s Shahin Farshchi. Facebook presented its Brain Computer Interface work at the […]

Phone-based support for psychosis

University of Washington’s Dror Ben Zeev has published a paper detailing a wide array of phone-based technology meant to support the recovery of psychosis throughout life — from early detection to symptom management to vocational rehabilitation, The study includes self reported mental health assessments, self-management interventions, medication reminders, messages from case managers, tele-therapy, and skill […]

New electrodes, brain signal analysis, for smaller, lower power, wireless BCI

Building on his prior brain-controlled prosthetic work, Stanford’s Krishna Shenoy has developed a simpler way to study brain electrical activity, which he believes will lead to tiny, low-power, wireless brain sensors that would bring thought-controlled prosthetics into much wider use. The method involved decoding neural activity in aggregate, instead of  “spike sorting.”  Spike sorting must be […]

App optimizes meditation length to improve attention and memory

Adam Gazzaley and UCSF colleagues have developed a focus-driven digital meditation program that improved attention and memory in healthy adults in a recent study. MediTrain tailors meditation session length to participant abilities, and challenges users to increase session time. Subjects received significant benefits in 6 weeks.  On their first day, they focused on their breath […]

Study: Noninvasive BCI improves function in paraplegia

Miguel Nicolelis has developed a non-invasive system for lower-limb neurorehabilitation. Study subjects wore an EEG headset  to record brain activity and detect movement intention. Eight electrodes were attached to each leg, stimulating muscles involved in walking.  After training, patients used their own brain activity to send electric impulses to their leg muscles, imposing a physiological gait. With […]

AI detects depression in children’s voices

University of Vermont researchers have developed an algorithm that detects anxiety and depression in children’s voices with 80 per cent accuracy, according to a recent study. Standard diagnosis involves a 60-90 minute semi-structured interview with a trained clinician and their primary care-giver. AI can make diagnosis faster and more reliable. The researchers used an adapted […]