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| == Practical Session ''Brain-Computer Interfacing: From Neurons to Data'' == | == Project ''Brain-Computer Interfacing'' == |
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| || '''Module:''' || ] || || '''Zeit:''' || Wednesday 10am-12pm || |
|| '''Module:''' || MINF-IS-BCI/PJ, 6 SWS, 9 ECTS [[https://moseskonto.tu-berlin.de/moses/modultransfersystem/bolognamodule/beschreibung/anzeigen.html?number=40007&version=3|Modulbeschreibung]] || ||<(|2> '''Zeit:''' || some common dates on Wednesdays at 10am || || otherwise up to agreement (group work; conducting experiments)|| |
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| || '''Lecturer:''' || Daniel Miklody; [[http://www.user.tu-berlin.de/blanker/|Benjamin Blankertz]] (verantwortlich) || || '''Entry in the course catalogue:''' || [[http://lsf.tubit.tu-berlin.de/qisserver/servlet/de.his.servlet.RequestDispatcherServlet?state=verpublish&status=init&vmfile=no&publishid=196673&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|LSF entry]] || |
||'''First meeting to distribute topics'''|| Wednesday, 19|04|2017, 10:15am to 12 || || '''Lecturer:''' || [[http://www.user.tu-berlin.de/blanker/|Benjamin Blankertz]] (verantwortlich) || || '''Entry in the course catalogue:''' || [[http://lsf.tubit.tu-berlin.de/qisserver/servlet/de.his.servlet.RequestDispatcherServlet?state=verpublish&status=init&vmfile=no&publishid=195625&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|LSF entry]] || |
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| This projects conveys experimental competences of Brain-Computer Interfacing (BCI) exemplary. Moreover, theoretical skills in signal processing and machine learning are trained practically in hands-on experiments with self acquired data. A typical project is as follows: work out an experimental design for a given hypothesis; implement the experiment and conduct a study (including the acquisition of physiological data) with about 6 participants; investigate the acquire data with standard analysis methods and techniques from machine learning; put the results into perspective given the state-of-the-art and present them as a talk in a written report. Projects are performed in groups of 2 to 4 students. Note: This project is about the practical aspects of Brain-Computer Interfaces. The background about this field of research is given in the lecture "Brain-Computer Interfacing". |
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| Programming skills (Matlab/Octave) and basic knowledge in signal processing and machine learning is required. Having participated in the lecture Brain-Computer Interfacing before is helpful but not required. Active participation in the project and presentation of the results in a talk and in a report are required. |
Project ''Brain-Computer Interfacing''
Time, Location, and other information
Module: |
MINF-IS-BCI/PJ, 6 SWS, 9 ECTS Modulbeschreibung |
Zeit: |
some common dates on Wednesdays at 10am |
otherwise up to agreement (group work; conducting experiments) |
|
Location: |
TUB Marchstr. 23, Room MAR 4.044 |
First meeting to distribute topics |
Wednesday, 19|04|2017, 10:15am to 12 |
Lecturer: |
Benjamin Blankertz (verantwortlich) |
Entry in the course catalogue: |
|
Webpage of the course: |
t.b.a. |
Inhalt
This projects conveys experimental competences of Brain-Computer Interfacing (BCI) exemplary. Moreover, theoretical skills in signal processing and machine learning are trained practically in hands-on experiments with self acquired data. A typical project is as follows: work out an experimental design for a given hypothesis; implement the experiment and conduct a study (including the acquisition of physiological data) with about 6 participants; investigate the acquire data with standard analysis methods and techniques from machine learning; put the results into perspective given the state-of-the-art and present them as a talk in a written report. Projects are performed in groups of 2 to 4 students.
Note: This project is about the practical aspects of Brain-Computer Interfaces. The background about this field of research is given in the lecture "Brain-Computer Interfacing".
Voraussetzungen und Anforderungen
Programming skills (Matlab/Octave) and basic knowledge in signal processing and machine learning is required. Having participated in the lecture Brain-Computer Interfacing before is helpful but not required.
Active participation in the project and presentation of the results in a talk and in a report are required.
Material
Material will be provided on the web page of the course (see above).