Browsing Category: BCI

Bob Knight on decoding language from direct brain recordings | ApplySci @ Stanford

Berkeley’s Bob Knight discussed (and demonstrated) decoding language from direct brain recordings at ApplySci’s recent Wearable Tech + Digital Health + Neurotech Silicon Valley at Stanford: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Rudy Tanzi – Mary Lou Jepsen – George […]

Nathan Intrator on epilepsy, AI, and digital signal processing | ApplySci @ Stanford

Nathan Intrator discussed epilepsy, AI and digital signal processing at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Mary Lou […]

DARPA’s Justin Sanchez on driving and reshaping biotechnology | ApplySci @ Stanford

DARPA Biological Technologies Office Director Dr. Justin Sanchez on driving and reshaping biotechnology.  Recorded at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University. Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 25, 2018 at the MIT Media […]

TMS + VR for sensory, motor skill recovery after stroke

EPFL’s Michela Bassolino has used transcranial magnetic stimulation to create hand sensations when combined with VR. By stimulating the motor cortex,  subjects’ hand muscles  were activated, and involuntary short movements were induced. In a recent study, when subjects observed a virtual hand moving at the same time and in a similar manner to their own […]

Phillip Alvelda: More intelligent; less artificial | ApplySci @ Stanford

Cortical founder and former DARPA NESD program manager Phillip Alvelda discusses AI and the brain at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference – September 25, 2018 at the MIT Media […]

Software records, organizes, analyzes 1 million neurons in real-time

Martin Garwicz and Lund University colleagues have developed a novel method for recording, organizing, and analyzing enormous amounts of neurohysiological data  from  implanted brain computer interfaces. The technology simultaneously acquires data from 1 million neurons in real time. It converts spike data and sends it for processing and storage on conventional systems. Subject feedback is provided in […]