Moses - Brain-Computer Interfacing - from neurons to data

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SS 2019 - WiSe 2022/23.

Module / Version:
#40853 / #3

Validity:
SS 2019 - WiSe 2022/23

Default display language:
English

Module title:
Brain-Computer Interfacing - from neurons to data

Credits:
3

Responsible person:
Blankertz, Benjamin

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34355200 FG S-Professur Neurotechnologie

Prüfungsausschuss:
No information

Kontakt

Office:
MAR 4-3

Contact person:
Miklody, Daniel

E-mail address:
miklody@tu-berlin.de

Website:

http://wiki.ml.tu-berlin.de/wiki/NT/Courses

Learning Outcomes

Students know the essential physical background of Brain-Computer Interfacing (BCI). They understand the pathway from the activity of single neurons to the signal of the electroencephalogram (EEG) They are capable of programming simulations of the electrical properties of the human head and know how to interpret the results.

Content

The technological and physical basics of Brain-Computer Interfacing will be elaborated. It covers the path from the (electrical) activity of single neurons via the volume conduction of the human head and the instrumentation to the computer.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Brain-Computer Interfacing - from neurons to data	IV	3435 L 505	SoSe	English	2

Workload and Credit Points

Brain-Computer Interfacing - from neurons to data (IV):

Workload description	Multiplier	Hours	Total
presence	15.0	2.0h	30.0h
exercises	5.0	6.0h	30.0h
studying	15.0	2.0h	30.0h
			90.0h(~3 LP)

The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

The course consists of a lecture and a closely connected exercise session in a weekly exchange. In the exercises, the content of the lecture will be elaborated and they will be graded.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

* Required: programming skills; background in mathematics, in particular linear algebra and probability theory. * Helpful, but not obligatory: Basic knowledge in signal processing, machine learning, and basic knowledge in electrostatics and electronics are of advantage.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Simulation Project	25	practical	6 h
1 Assignment / Hausaufgabe (1)	15	practical	6 h
1 Assignment / Hausaufgabe (2)	15	practical	6 h
1 Assignment / Hausaufgabe (3)	15	practical	6 h
1 Assignment / Hausaufgabe (4)	15	practical	6 h
1 Assignment / Hausaufgabe (5)	15	practical	6 h

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

Test description (Module completion)

The grade is determined according to § 47 (2) AllgStuPO with the grading system 2 of faculty IV. Five assignment sheets have to be solved and an additional simulation project will be conducted in groups.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Registration is not required, but stating the interest to participate in the lecture is welcome for the planning of resources. * Either email to Sekr. MAR 4-3: Imke Weitkamp <imke.weitkamp@tu-berlin.de> * or register in the respective courses in the information system at https://isis.tu-berlin.de/

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information

Brain-Computer Interfacing - from neurons to data