Quantitative Systems Biology - Neural Computation and Behavior

Explore fundamental principles of quantitative systems biology through this comprehensive winter school featuring expert lectures on neural computation, sensory processing, and behavioral modeling. Delve into membrane excitability and synaptic plasticity mechanisms while examining how neural coding and adaptation shape information processing in biological systems. Investigate olfactory search strategies and navigation algorithms, discovering how organisms like flies and hydra translate sensory inputs into coordinated behaviors. Learn about cutting-edge optogenetic techniques for dissecting sensorimotor circuits and advanced optical imaging methods for analyzing neuronal and astrocyte activity patterns. Master Bayesian approaches to behavioral modeling and examine computational principles underlying sensorimotor control and learning. Gain insights into visuomotor behavior under uncertainty and explore the intricate relationships between neurons, glia, and behavioral states that govern navigation and locomotion across different model organisms.

Syllabus

Membrane Excitability and Synaptic Plasticity (Lecture 1) by Suhita Nadkarni
Neural Coding and Adaptation (Lecture 1) by Adrienne Fairhall
Membrane Excitability and Synaptic Plasticity (Lecture 2) by Suhita Nadkarni
From Neurons to Behavior in Hydra (Lecture 2) by Adrienne Fairhall
Olfactory Search and Navigation (Lecture 1) by Antonio Celani
Introduction to Olfaction (Lecture 1) by Dima Rinberg
Olfactory Search and Navigation (Lecture 2) by Antonio Celani
Sensory (olfactory) Coding from Behavioral Perspective (Lecture 2) by Dima Rinberg
An Introduction to Drosophila Neuroscience (Lecture 1) by Katherine Nagel
How Flies Navigate (Lecture 1) by Larry Abbott
How do Flies Navigate (Lecture 2) by Larry Abbott
Algorithms and Circuits for Olfactory Navigation in Drosophila (Lecture 2) by Katherine Nagel
Optogenetic Dissection of Sensorimotor Circuits Shaping, Locomotion.... (Lecture 1) by Claire Wyart
Optical Imaging and Analysis of Neuronal and Astrocyte Activity....(Lecture 1) by Misha Ahrens
Neuron-Glia Computation for Behavioral States and Navigation (Lecture 2) by Misha Ahrens
Identifying Patterns in Animal Behavior (Lecture 2) by Claire Wyart and Gautam Reddy
Bayesian Modeling of Behavior (Tutorial) by Konrad Kording
Computational Principles of Sensorimotor Control (Lecture 1) by Daniel Wolpert
Computational Principles Underlying the Learning of Sensorimotor... (Lecture 2) by Daniel Wolpert
Uncertainty in Visuomotor Behavior by Konrad Kording