Teaching
Courses at NTNU
Soledad developed three brand new PhD courses at the Norwegian University of Science and Technology:
- Concepts in (neural) Data Analysis (NEVR8011)
- Math for biologists I – Linear Algebra (NEVR8012)
- Math for biologists II – Calculus and Introduction to Probability Theory (NEVR8015)
Summer School Mathematical Methods in Computational Neuroscience
Soledad yearly teaches at this summer school, which takes place every July in beautiful Eresfjord.
Ukraine Global Faculty
Soledad recently joined as a contributor to Ukraine Global Faculty, which seeks to offer educational content and opportunities to Ukrainians. Her series of four lectures covered topics on statistical learning.
Conferences
Theories of neural computation in the era of large-scale recordings (KISN, 2024)
Soledad co-organized, together with Yoram Burak (Hebrew University of Jerusalem) and Rainer Friedrich (FMI) an extended workshop that took place at the Kavli Institute for Systems Neuroscience (KISN), in Trondheim, Norway, during July 2024. See our visual report here.
Dimensionality Reduction and Population Dynamics in Neural Data (NORDITA, 2020)
In 2020 Soledad co-organized, together with Yasser Roudi (King’s College London) and John Hertz (Nordita), a conference that was held at Nordita, in Stockholm, between February 11 and February 14. Most parts of the conference were recorded: Conference in Stockholm playlist
Description of the meeting: 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.
Gonzalo Cogno Lab 