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Brain Circuits

Karolinska Institutet
Basic Neuroscience
About this course

Experimental neuroscience is key to progress in the understanding of how the brain functions. The experimental toolbox for studies in rodents is currently without comparison, allowing detailed investigation of how the brain is built and the function of brain circuits. Technological advances also make it possible to directly connect neurons and circuits to behaviour. 

In the Brain Circuits course, students will meet international and KI neuroscientists who have made significant contributions to the study and understanding of neuronal circuits and behaviour. The development and application of novel technologies and analysis (high-density electrophysiology and imaging of single-neuron activity, optogenetics, behavioural tracking, machine learning etc) will be covered, with a focus on advances using transgenic rodents. We have a strong emphasis on engaging junior neuroscientists in the course and on creating a network for future neuroscience leaders.

This course is given in collaboration with the Master's Programme in Biomedicine.

Learning outcomes

Students will meet international and KI neuroscientists who have made significant contributions to the study and understanding of neuronal circuits and behaviour. The development and application of novel technologies and analysis (high-density electrophysiology and imaging of single-neuron activity, optogenetics, behavioural tracking, machine learning etc) will be covered, with a focus on advances using transgenic rodents.

Prerequisites for participation

Knowledge of neuron function and brain anatomy is required.

SELECTION

Selection will be based on:  
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation). 

2) experience of neuroscience research (according to written motivation)

3) start date of doctoral studies (priority given to earlier start date). 



 

Necessary language skill
English
Semester(s) in which the module takes place
Autumn Semester 2024
Course level
Doctoral
Course start date
13 Oct 2025
Course end date
17 Oct 2025
Apply between
Application start date
15 Apr 2025
-
Application end date
06 May 2025
Teaching mode
Local
Workload in ECTS
1.5
Person in charge of module
Pierre Le Merre
Email address
pierre.le.merre@ki.se
Local module ID
C4F2624
Link to the course
Link to detailed course description and registration
Documents