Skip To Main Content
Gerwin Schalk on Muck Rack

Gerwin Schalk

As seen in: Nature, BioRxiv, Cell Press
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile
Back to Gerwin Schalk’s profile

Articles by Gerwin Schalk

Ethical considerations for implantable human brain–computer interfaces

|
By Kai Miller, Davide Giampiccolo, Harith Akram, Gerwin Schalk
| Nature Verified
Implanted brain–computer interfaces hold great promise for restoring communication and other functions and for revealing new aspects of human brain physiology. Yet as the number of implantations in humans expands, ethical clarity must keep pace with technical ambition.
Open in Who Shared Issue with article?

Feasibility of Stereo EEG Based Brain Computer Interfacing in An Adult and Pediatric Cohort

|
By Michael Jensen, Gerwin Schalk, Dora Hermes, Nuri Ince
| BioRxiv
Abstract Introduction: Stereoelectroencephalography (sEEG) is a mesoscale intracranial monitoring method which records from the brain volumetrically with depth electrodes. Implementation of sEEG in BCI has not been well-described across a diverse patient cohort.
Open in Who Shared Issue with article?

Translation of neurotechnologies - Nature Reviews Bioengineering

|
By Gerwin Schalk, Peter Brunner, Cuntai Guan
| Nature Verified
Abstract Neurotechnologies combine engineering methods and neuroscientific knowledge to design devices that interface the brain with the outside world. Since the early 2000s, inspiring and encouraging neurotechnology examples have been the subject of high-profile scientific articles and made headlines in popular media.
Open in Who Shared Issue with article?

A General-Purpose Non-invasive Neurotechnology Research Platform

|
By Gerwin Schalk, Jintao Li, Shiyun Shao, Kewei Xiao
| BioRxiv
Abstract This article describes our initial work toward a general-purpose platform for non-invasive neurotechnology research. This platform consists of a multi-modal wireless recording device, an associated software API, and full integration into BCI2000 software. The device is placed on the forehead and features two electroencephalographic (EEG) sensors, an inertial movement sensor (IMU), a photoplethysmogram (PPG) sensor, a microphone, and vibration-based feedback.
Open in Who Shared Issue with article?
Show More