NAIL088: Introduction to Computational Neuroscience 2

Synopsis

This course gives an introduction into computational neuroscience and cognitive psychology. The second term will focus primarily on visual system, computational modelling, spatial cognition. This course runs in English.

Course work

Passing of the course requires three components:

  • Active participation
  • Computational neuroscience paper presentation: the list
  • Term project (in the form of report): the assignment

The term project will be an assignment, which will involve delivering a report on analysis of a model of mouse primary visual cortex.

Lecture overview and slides (year 2026)

The course will take place every Tuesday at 14:00-17:00

The course is structured as 90 min lecture & 90 minute exercise session, but we will start with more lectures and excercise sessions will be concentrated towards the end of the semester. The following schedule is provisional, it will be changed depending on availability of visiting lecturers.

Date Lecture Exercise Slides
24.2.    Sub-cortical vision, color, binocularity Sub-cortical vision, color, binocularity slides
3.3.    Medium-to-high level vision Medium-to-high lelvel vision slides
10.3.    Computational modelling: machine learning DNN models of mouse V1  
17.3.    Computational modelling: normative models Introduction to term projet  
24.3.    Computational modelling: dynamical models I Term prokect work  
31.3.    Computational modelling: dynamical models II Term project work  
7.4.    Computational modelling: development Topographica demo  
14.4.    Synaptic Plasticity (Daniel Novák) Term project work  
21.4.    RESERVED Term project work  
28.4.    Guest Lecture (TBA) Term project work  
5.5.    Guest Lecture (TBA) Term project work  
12.5.    Paper presentations Paper presentations  
18.5.    Paper presentations Term project work