KISN Open Access Knowledge

KISN Open Access Knowledge

Course and conference

COURSE: Concepts in Data Analysis (NEVR2011)

Time: Spring 2024
 Soledad Gonzalo Cogno

For those who want to formally sign up and take 7.5 ECTS, it will be manditory to have formal training in Math. We will encourage you to take NEVR8012 or NEVR8015, or any course at NTNU that has a level that is the same or higher that the aforementioned courses.

Please, don't hesitate to let Soledad know if you have any questions!

CONFERENCE: National PHD Conference in Neuroscience

Time: 27th - 29th of September
Place: Grand Hotell Egersund
Organizer: NRSN

The annual PhD conference of NRSN is organised exclusively by PhD students, for PhD students. This is the perfect arena to meet other students in neuroscience from all over Norway and to practice your conference and presentation skills in a friendly atmosphere. 

Apply to the Phd conference in Neuroscience

More information: Phd conference in Neuroscience

Link to more information on the PhD conference

COURSE: Math for Biologists 1: Linear Algebra (NEVR8012)

Time: Mid August - end of October 2023
Place: Trondheim
Coordinator: Iván Davidovich
Lecturers: Iván Davidovich and Soledad Gonzalo Cogno

The goal of this course is to provide attendees with a foundational knowledge on basic concepts in Linear Algebra that are fundamental in order to understand many modern data analysis techniques and models. Students who want to take the course Concepts in Data Analysis (NEVR8011) are encouraged to first take this course (in case of doubts contact Soledad Gonzalo Cogno). 

Please, find the details of the course below and feel free to contact Ivan in case there are any questions. If you are interested in taking the full course or just some lectures, please let Ivan know so we can add you to the dedicated mailing list. If you are a PhD student, you can formally sign up for this course to take 7.5 ECTS.

Course site: NEVR8012 - Math for Biologists I – Linear


SUMMER SCHOOL: AI in Neuroscience 

Time: 21st - 24th of August 2023
Place: Sirdal Høyfjellshotell, outside of Stavanger 
Organizer: Mahdieh Khanmohammadi, Trygve Eftestøl, Ulrich Dettweiler, and Kolbjørn Brønnick

Deadline for applications: 14th of June

The AI in Neuroscience Summer School is a four-day intensive program that seeks to bring together leading experts in the field of Cognitive Neuroscience and Artificial Intelligence (AI) to explore the current and emerging advances and applications of AI within neuroscience research.

- Gain in-depth knowledge and hands-on experience in the applications of AI in neuroscience
- Network with peers and senior researchers
- Social activities

Apply to AI in Neuroscience summer school

More information: Summer school in Neuroscience 2023

Promotion slide for the summer school





COURSE: Concepts in data analysis (NEVR8011)

Time: Fall semester 2022 (mid-August)
Place: Kavli Institute for Systems Neuroscience
Organizer: Soledad Gonzalo Cogno

The goal of this course is to provide attendees with an overview of the different techniques and concepts used in the analysis of neural data, and examples of how to apply these tools.

If you are interested in taking the full course or just attending some of the lectures (both modalities are possible), please contact Soledad Gonzalo Cogno, so that she can add you to the dedicated mailing list. If you are a PhD student and you want to formally sign up for this course to take 7.5 ECTS, please contact Soledad.

More information Concepts in data analysis 2022

SUMMER SCHOOL: Mathematical Methods in Computational Neuroscience

Time: 20th July - 5th August, 2022
Place: Fred Kavli Science Center, Eresfjord, Norway
Organizers: Yasser Roudi, Ivan Davidovich and Benjamin Dunn, Chewy (Chief Security Officer)

NRSN offers an annual summer school that provides PhD students with theoretical and practical research training in current forefront areas of neuroscience. The summer school is organized each year by a different research institution in Norway, drawing on local expertise combined with contributions from international faculty. The summer school is intended for PhD students in neuroscience, and priority will be given to members of NRSN. Other participants may be accepted if there are still places available.

More information:

Beautiful Eresfjord. Photo.


COURSE: Concepts in data analysis (NEVR8011)

PhD Course (7.5 ECTS)
Time: Two full weeks in August 2021
Place: Zoom

Course coordinators (*) and lecturers: Claudia Battistin*Soledad Gonzalo Cogno*, Luca Porta Mana and Weijian Zong

More information: Concepts in data analysis

Poster concept in data analysis. Illustration.


SUMMER SCHOOL: Mathematical Methods in Computational Neuroscience

Time: 28 July-14 August 2021 
Place: Fred Kavli Science Center in beautiful Eresfjord and Zoom.

This summer school covers some of the most important methods used in computational neuroscience research through both main lectures and scientific seminars.

Organizers: Yasser RoudiIvan Davidovich and Benjamin Dunn

Recorded lectures will be available here: KISN Summer School

Mathematical Methods poster. Illustration.


CONFERENCE: Dimensionality Reduction and Population Dynamics in Neural Data

Time: 11-14 February 2020
Place: Stockholm

Organizers: Yasser RoudiSoledad Gonzalo Cogno (Kavli institute, NTNU) and John Hertz (Nordita and the Niels Bohr Institute)

The brain represents and processes information through the activity of many neurons whose firing patterns are correlated with each other in non-trivial ways. These correlations, in general, imply that the activity of a population of neurons involved in a task has a lower dimensional representation. Naturally, then, discovering and understanding such representations are important steps in understanding the operations of the nervous system, and theoretical and experimental neuroscientists have been making interesting progress on this subject. The aim of this conference is to gather together a number of key players in the effort for developing methods for dimensionality reduction in neural data and studying the population dynamics of networks of neurons from this angle. We aim to review the current approaches to the problem, identify the major questions that need to be addressed in the future, and discuss how we should move forward with those questions.

More information and recorded lectures from the conference.

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