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Reading group at the intersection of neuroscience and machine learning

8.3592

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Beschreibung

Content and goal:
In this course, you will explore research that lies at the intersection of neuroscience and artificial intelligence. On a weekly basis, we will discuss classic and newly emerging research articles decided by the instructors and decided amongst the group during the course. Each student, or group of students, depending on the number of students enrolled, will be required to prepare and present at least one paper, to guide the group through it and to lead the in-depth discussion. By the end of the course you will have a wide understanding of the common conceptualisations and trends, shared among neuroscience and AI. You will be better at parsing papers - getting to the central messages quickly and assessing the validity of the claims being made.

Target audience:
Master students who have at least completed an introductory course in cognitive neuroscience or neurobiology and an introductory course to deep learning.

Number of participants:
The number of participants of this course is limited. If more students than the maximum number apply, we will choose a subgroup based on fulfilment of course criteria (see "target audience" above), as well as past experience and, likely, motivation letters. The exact procedure will be communicated in the first session once we can tell how many students exactly are actively taking part.

Grading:
The course will complete with a written report, to be handed in by each student, in which you will be asked to answer a guiding question or review a common theme among papers covered. The grade of the report will be the course grade.

Weitere Angaben

Ort: 50/E07
Zeiten: Do. 14:00 - 16:00 (wöchentlich)
Erster Termin: Donnerstag, 13.04.2023 14:00 - 16:00, Ort: 50/E07
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)
Sprache: 2
ECTS-Punkte: 4