Course - Neural Networks - NEVR3004
Neural Networks
About
About the course
Course content
Neuroinformatics and network models of brain functions are major topics. The course has a strong focus on models of memory in realistic cortical networks, using both experimental and theoretical (computational) approaches. Attractor networks receive particular attention. The teaching consists of lectures and practical demonstrations.
The course includes a project equivalent to 2.5 credits. The project involves writing an essay, usually under supervision and based on a literature search of a topic. The project is evaluated as passed/failed. The student must pass the project assignment before (s)he can take the exam.
Learning outcome
Provide an understanding of neural network mechanisms of cognition.
Learning methods and activities
Lectures, demonstrations and supervised project (essay based on literature search). The course is taught in the second half of the semester. The language of teaching and examination is English.
Compulsory assignments
- Project (essay based on literature study)
- Essay
Recommended previous knowledge
NEVR2010 (Introduction to Neuroscience) or equivalent background.
Course materials
To be announced.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| NEVR3030 | 7.5 sp | |
| NEVR8010 | 4 sp |
Subject areas
- Biology
- Computer and Information Science
- Philosophy
- Physics
- Informatics
- Chemistry
- Medicine
- Neuroscience
- Psychology