course-details-portlet

NEVR3004 - Neural Networks

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours D

Course content

Neural data analysis and neural network models are the primary focus of this course. We will cover current computational models and discuss how these models continue to develop together with experiments to further our understanding of the brain. Lectures will include topics such as neural coding and decoding, information theory, dimensionality reduction, attractor networks for memory and navigation, introduction to programming, and analysis of neural data.

Learning outcome

After successfully passing the course, the student will have achieved the following:

Knowledge:

  • understand the foundations of models and their application to the brain
  • gain familiarity with concepts such as neural coding/decoding, information processing in the brain, and attractor neural networks

Skills:

  • perform basic analysis and interpretation of neural data
  • critically evaluate quantitative methods and identify underlying assumptions

General competence:

  • understand the role of quantitative approaches to neural data analysis and neural modelling
  • understand the relationship between major theoretical concepts in neuroscience and experimental data
  • approach methods and theories that are useful for their field of research

Learning methods and activities

The course is taught in the Spring semester. The language of teaching and evaluation is English.

The course will consist of lectures, participation in group-based work/discussions, and short assignments.

This course has restricted admission. Students admitted to the MSc in Neuroscience are guaranteed a seat. Other students must apply for a seat by the given deadlines.

Compulsory assignments

  • 7 approved short assignments

Further on evaluation

Students will be given 10 short assignments (ca. 5-10 min to complete one assignment) during the semester related to the course material. The assignments will be evaluated as passed/failed. A passing grade on at least 7 of 10 assignments is required to take the final exam.

Approved compulsory assignments are valid for two academic years.

Written exam (school exam); 4 hour duration

Regular final examination is given in the spring semester only. Students with legitimate leave of absence at the final examination and students who receive the grade F may take a re-sit examination in the autumn semester. In case of only a few candidates, the re-sit examination may be conducted as an oral examination.

Specific conditions

Required previous knowledge

Admission to a programme of study is required:Msc in Neuroscience

Limited admission to classes:

Students not enrolled in MSc in Neuroscience may be individually assessed for a seat if they have a relevant background in accordance with the admission criteria to the MSc in Neuroscience programme: https://www.ntnu.edu/studies/msneur/admission More information about restricted admission: https://i.ntnu.no/wiki/-/wiki/English/Admission+to+courses+with+restricted+admission

Course materials

To be announced.

Credit reductions

Course code Reduction From To
NEVR3030 7.5
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2025
Extraordinary deadline for course registration: 2024-12-01

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Computer and Information Science
  • Neuroscience
  • Biology
  • Philosophy
  • Physics
  • Informatics
  • Chemistry
  • Medicine
  • Psychology
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Kavli Institute for Systems Neuroscience

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn UTS School exam 100/100 D 2024-12-13 09:00 INSPERA
Room Building Number of candidates
SL520 Sluppenvegen 14 1
Spring ORD School exam 100/100 D INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU