English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  High Gamma-Power Predicts Performance in Brain-Computer Interfacing

Grosse-Wentrup, M., & Schölkopf, B.(2012). High Gamma-Power Predicts Performance in Brain-Computer Interfacing (3). Tübingen, Germany: Max-Planck-Institut für Intelligente Systeme.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-B842-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-97D5-4
Genre: Report

Files

show Files
hide Files
:
TR-IntSys-003.pdf (Publisher version), 2MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0001-97D6-3
Name:
TR-IntSys-003.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Grosse-Wentrup, M1, Author           
Schölkopf, B1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              

Content

show
hide
Free keywords: -
 Abstract: Subjects operating a brain-computer interface (BCI) based on sensorimotor rhythms exhibit large variations in performance over the course of an experimental session. Here, we show that high-frequency gamma-oscillations, originating in fronto-parietal networks, predict such variations on a trial-to-trial basis. We interpret this finding as empirical support for an in uence of attentional networks on BCI-performance via modulation of the sensorimotor rhythm.

Details

show
hide
Language(s):
 Dates: 2012-02
 Publication Status: Issued
 Pages: -
 Publishing info: Tübingen, Germany : Max-Planck-Institut für Intelligente Systeme
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 3
BibTex Citekey: GrosseWentrupS2012
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Technical Report
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: Tübingen, Germany : Max-Planck-Institut für Intelligente Systeme
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 14 Identifier: -