• The 8th BNNI 2020 School on August 31 - September 4 is postponed due to the COVID-19 pandemic.

    Further updates will be provided in September 2020.

    The BNNI 2020 team wishes you all to stay healthy and safe!

    8th Baltic-Nordic School on Neuroscience and Neuroinformatics BNNI 2020

    Neuroscience of Learning and Decision Making

    Stockholm, Sweden


Course overview

The Course

This intensive course is designed to give students an overview of computational modelling in neuroscience: from neural substrate (neurons/synapses) to brain function. In this edition of the school we will focus on experiments and computational models that have provided deep insights into learning and decision-making in the brain. Before delving into such models we will have pedagogical lectures and hands on tutorials to introduce fundamentals of modelling of synapses, dendrites and neurons, biological neuronal networks and population signals as well as analysis of high-dimensional neuronal activity. Finally, we will have lectures on how the growing knowledge of learning and decision-making in the brain can be used to understand brain diseases and build applications such as robots.

This summer school is the eighth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland; BNNI 2017 in Kaunas, Lithuania; BNNI 2018 in Ventspils, Latvia, BNNI 2019 in Frankfurt Main, Germany).

Target audience

The target audience of the course are advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school.

Scientific Program Committee and Local Organizers

Jeanette Hellgren-Kotaleski (KTH Royal Institute of Technology, Stockholm, Sweden)
Arvind Kumar (KTH Royal Institute of Technology, Stockholm, Sweden)
Jörg Conradt (KTH Royal Institute of Technology, Stockholm, Sweden)
Erik Fransen (KTH Royal Institute of Technology, Stockholm, Sweden)
Pawel Herman (KTH Royal Institute of Technology, Stockholm, Sweden)
Marja-Leena Linne (Tampere University, Tampere, Finland)
Ausra Saudargiene (Lithuanian University of Health Sciences, Kaunas, Lithuania)