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Learning Probability Distributions of Neuronal Activity Patterns - Max Entropy Models

Offered By: ICTP-SAIFR via YouTube

Tags

Computational Neuroscience Courses Data Analysis Courses Machine Learning Courses Neural Networks Courses Information Theory Courses Probability Distributions Courses Statistical Mechanics Courses Lattice Models Courses

Course Description

Overview

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Explore a comprehensive lecture on learning probability distributions of neuronal activity patterns using maximum entropy models. Delve into the intricacies of this topic with speaker Luisa Ramirez from Johannes Guttenberg University in Mainz, Germany. This 1 hour and 27 minute talk is part of the ICTP-SAIFR Minicourse on Lattice models and applications to biological problems, held from November 27 to December 1, 2023. Gain valuable insights into the intersection of statistical physics and neuroscience as you learn about the application of max entropy models to understand complex neuronal activity patterns. Discover how these models can help unravel the mysteries of brain function and contribute to advancements in computational neuroscience.

Syllabus

Luisa Ramirez: Learning probability distributions of neuronal activity patterns: Max entropy models


Taught by

ICTP-SAIFR

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