Open Access Knowledge - Kavli Institute for Systems Neuroscience
KISN Open Access Knowledge
COURSE: Concepts in Data Analysis (NEVR2011)
Time: Spring 2024
Organizer: 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
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
Past
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: compneuronrsn.org
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
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 Roudi, Ivan Davidovich and Benjamin Dunn
More information: compneuronrsn.org
Recorded lectures will be available here: KISN Summer School
CONFERENCE: Dimensionality Reduction and Population Dynamics in Neural Data
Time: 11-14 February 2020
Place: Stockholm
Organizers: Yasser Roudi, Soledad 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.
