course-details-portlet

NEVR3004 - Nevrale nettverk

Om emnet

Vurderingsordning

Vurderingsordning: Skriftlig skoleeksamen
Karakter: Bokstavkarakterer

Vurdering Vekting Varighet Delkarakter Hjelpemidler
Skriftlig skoleeksamen 100/100 4 timer D

Faglig innhold

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.

Læringsutbytte

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

Læringsformer og aktiviteter

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.

Obligatoriske aktiviteter

  • 7 approved short assignments

Mer om vurdering

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.

Spesielle vilkår

Begrenset opptak til undervisning. For nærmere opplysninger: https://i.ntnu.no/wiki/-/wiki/Norsk/Opptak+til+adgangsbegrensede+emner

Forkunnskapskrav

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

Kursmateriell

To be announced.

Studiepoengreduksjon

Emnekode Reduksjon Fra Til
NEVR3030 7.5
Flere sider om emnet

Ingen

Fakta om emnet

Versjon: 1
Studiepoeng:  7.5 SP
Studienivå: Høyere grads nivå

Undervisning

Termin nr.: 1
Undervises:  VÅR 2025
Spesiell frist for melding til undervisning: 01.12.2024

Undervisningsspråk: Engelsk

Sted: Trondheim

Fagområde(r)
  • Datateknikk og informasjonsvitenskap
  • Nevrovitenskap
  • Biologi
  • Filosofi
  • Fysikk
  • Informatikk
  • Kjemi
  • Medisin
  • Psykologi
Kontaktinformasjon
Emneansvarlig/koordinator: Faglærer(e):

Ansvarlig enhet
Kavliinstitutt for nevrovitenskap

Timeplan

Listevisning
Kalendervisning

Eksamensinfo

Vurderingsordning: Skriftlig skoleeksamen

Termin Statuskode Vurdering Vekting Hjelpemidler Dato Tid Eksamens- system Rom *
Høst UTS Skriftlig skoleeksamen 100/100 D 13.12.2024 09:00 INSPERA
Rom Bygning Antall kandidater
SL110 lilla sone Sluppenvegen 14 2
Vår ORD Skriftlig skoleeksamen 100/100 D 02.06.2025 15:00 INSPERA
Rom Bygning Antall kandidater
SL110 turkis sone Sluppenvegen 14 21
  • * Skriftlig eksamen plasseres på rom 3 dager før eksamensdato. Hvis mer enn ett rom er oppgitt, finner du ditt rom på Studentweb.
Eksamensinfo

For mer info om oppmelding til og gjennomføring av eksamen, se "Innsida - Eksamen"

Mer om eksamen ved NTNU