Data analysis, Modelling & Causality in Neuroscience

From:
To:
Location:
Online

The first ZENITH bespoke workshops “Data analysis, Modelling & Causality in Neuroscience” will provide advanced, hands-on training in data analysis and computational modelling, experimental design and statistics.

The two-week workshops will be taught by the ZENITH faculty together with invited international experts and will include both theoretical background and practical training supported by several teaching assistants from the different labs.

Modules

The course will be split into 2 modules:

  1. Introduction to Statistics, Signal Processing and Machine Learning
  2. Introduction to Computational Systems Neuroscience

Schedule

Module 1: Introduction to Statistics, Signal Processing and Machine Learning

Monday, 22 February 2021

Lecture 1:
Moritz Grosse-Wentrup
Coffee break
Coding 1:
Coding wrap-up
Lunch break
Lecture 2:
Moritz Grosse-Wentrup
Coffee break
Coding 2:
Coding wrap-up
Break
Lecture 3:
Moritz Grosse-Wentrup
Coffee break
Coding 3:
Coding wrap-up
Wrap-up

Tuesday, 23 February 2021

Lecture 1:
Moritz Grosse-Wentrup
Coffee break
Coding 1:
Coding wrap-up
Lunch break
Lecture 2:
Moritz Grosse-Wentrup
Coffee break
Coding 2:
Coding wrap-up
Break
Lecture 3:
Moritz Grosse-Wentrup
Coffee break
Coding wrap-up
Wrap-up

Wednesday, 24 February 2021

Lecture 1:
Moritz Grosse-Wentrup
Coffee break
Coding 1:
Coding wrap-up
Lunch break
Lecture 2:
Moritz Grosse-Wentrup
Coffee break
Coding 2:
Coding wrap-up
Break
Lecture 3:
Gunnar König
Coffee break
Coding 3:
Coding wrap-up
Wrap-up

Module 2: Introduction to Computational Systems Neuroscience

Thursday, 25 February 2021

Lecture 1: Methods for brain-wide imaging in larval zebrafish
Ruben Portugues
Getting up-and-running with data
Ruben Portugues, James Fitzgerald
Lunch break
Lecture 2: Statistical signal processing for calcium imaging data
Ruben Portugues
Lecture 3: The importance of theory for understanding data
James Fitzgerald
Pre-processing of calcium imaging data
Ruben Portugues, James Fitzgerald

Friday, 26 February 2021

Lecture 1: Brain activity mapping
Ruben Portugues
Regressor analysis
Ruben Portugues, James Fitzgerald
Lunch break
Lecture 2: The problem of neural coding
James Fitzgerald
Lecture 3: Building statistical models of neural coding from data
James Fitzgerald

Monday, 01 March 2021

Lecture 1: Population analyses of neural data
Ruben Portugues
Designing and running population analyses on data
Ruben Portugues, James Fitzgerald
Lunch break
Lecture 2: Theoretically assessing neural population codes
James Fitzgerald
Theoretical exercises on population coding
Ruben Portugues, James Fitzgerald
Lecture 3: Nonlinear population codes
James Fitzgerald

Tuesday, 02 March 2021

Lecture 1: Zebrafish systems for integration and decision making
Ruben Portugues
Evidence accumulation across the zebrafish brain
Ruben Portugues, James Fitzgerald
Lunch break
Lecture 2: Introduction to neural networks
James Fitzgerald
Lecture 3: Neural networks in the brain
James Fitzgerald
Lecture 4: On simplicity and complexity in neural systems
Ruben Portugues

Wednesday, 03 March 2021

Lecture 1: Statistical parameter estimation and model comparison
Ruben Portugues
Lunch break
Lecture 2: Sloppy models in the physical and biological sciences
James Fitzgerald
Student journal club presentation preparation
Ruben Portugues, James Fitzgerald
Lecture 3: Student journal club presentations
Ruben Portugues, James Fitzgerald

Thursday, 04 March 2021

Lecture 1: Training artificial neural networks
Ruben Portugues
Learning to accumulate evidence
Ruben Portugues, James Fitzgerald
Lunch break
Fitting neural network models
Ruben Portugues, James Fitzgerald
Lecture 3: Natural scene statistics and algorithms for behavior
James Fitzgerald

Friday, 05 March 2021

Lecture 1: Lecture and discussion
Moritz Grosse-Wentrup
Lunch break
Lecture 2: Lecture and discussion
Ruben Portugues
Break
Lecture 3: Lecture and discussion
James Fitzgerald
Break
ZENITH Seminar
Thomas Gregor