NBE-E4250 - Mapping, Decoding and Modeling the Human Brain D, Lecture, 10.1.2023-22.2.2023

Pääsy vierailijana
Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After this course the student can

(1) list approaches for analyzing and modeling functional brain imaging data

(2) explain the difference between decoding and encoding models

(3) analyze brain imaging data using different approaches

(4) choose appropriate analysis or modeling approach to new data

(5) critically review scientific literature on brain decoding .

Credits: 5

Schedule: 10.01.2023 - 22.02.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Linda Henriksson

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    This course gives an overview of advanced approaches for analyzing and modeling human brain imaging data. The student will learn the main differences between univariate and multivariate analyses, and between encoding and decoding models. The students will also apply the different techniques to real data. The course will also give basic knowledge about the functional organization of the human visual system which will be used as a case example of how the different techniques are used in the context of neuroscientific questions.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Project works, homework, portfolio, exam.

Workload

  • valid for whole curriculum period:

    Lectures/contact teaching 24 h, Reading and homework 30 h, Project works 60 h, Compiling a portfolio 8 h, Getting ready for exam 8 h, Exam

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III
    2023-2024 No teaching

    Enrollment :

    This course is primarily for students of the Human Neuroscience and Technology major. Only a limited number of other students can participate.

Vastuullisen käyttäytymisen periaatteet yliopistoympäristössä (voimassa 1.8.2020 alkaen)

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